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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">psych</journal-id>
      <journal-title-group>
        <journal-title>Psychology</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2152-7199</issn>
      <issn pub-type="ppub">2152-7180</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/psych.2026.174024</article-id>
      <article-id pub-id-type="publisher-id">psych-150861</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Social Sciences</subject>
          <subject>Humanities</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Substance Use Disorders in Correctional Health: Evolving Challenges and Emerging Strategies in Prevention, Diagnosis, and Treatment —Integrated SUD Care in Corrections</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0009-0004-6141-3447</contrib-id>
          <name name-style="western">
            <surname>Gill</surname>
            <given-names>Pritmohinder S.</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Stith</surname>
            <given-names>Gail</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-3057-4756</contrib-id>
          <name name-style="western">
            <surname>Dooley</surname>
            <given-names>Thomas P.</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Arkansas Department of Corrections, Wrightsville Unit, Wrightsville, Arkansas, USA </aff>
      <aff id="aff2"><label>2</label> Arkansas Department of Corrections, Central Office, Pine Bluff, Arkansas, USA </aff>
      <aff id="aff3"><label>3</label> Trends in Pharma Development, Trussville, Alabama, USA </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>The authors have no competing interests to report.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>01</day>
        <month>04</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>04</month>
        <year>2026</year>
      </pub-date>
      <volume>17</volume>
      <issue>04</issue>
      <fpage>414</fpage>
      <lpage>451</lpage>
      <history>
        <date date-type="received">
          <day>25</day>
          <month>02</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>19</day>
          <month>04</month>
          <year>2026</year>
        </date>
        <date date-type="published">
          <day>22</day>
          <month>04</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2026 by the authors and Scientific Research Publishing Inc.</copyright-statement>
        <copyright-year>2026</copyright-year>
        <license license-type="open-access">
          <license-p> This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link> ). </license-p>
        </license>
      </permissions>
      <self-uri content-type="doi" xlink:href="https://doi.org/10.4236/psych.2026.174024">https://doi.org/10.4236/psych.2026.174024</self-uri>
      <abstract>
        <p>Substance use disorders (SUDs) are markedly overrepresented in correctional populations and reflect the convergence of neurobiological vulnerability, trauma exposure, psychiatric comorbidity, and structural inequity. This narrative review synthesizes contemporary evidence (2015-2025) on the epidemiology, neurobiology, genetic influences, treatment strategies, digital innovations, and policy frameworks shaping SUD care in prisons, jails, and community reentry settings. SUDs affect more than half of incarcerated individuals compared with roughly 5% of the general U.S. population, and are strongly associated with adverse childhood experiences and co-occurring psychiatric disorders ([<xref ref-type="bibr" rid="B12">12</xref>]; [<xref ref-type="bibr" rid="B45">45</xref>]). Robust evidence demonstrates that medications for opioid use disorder (MOUD)—including methadone, buprenorphine, and extended-release naltrexone—substantially reduce post-release overdose mortality and improve treatment continuity, particularly when integrated with structured behavioral interventions such as cognitive-behavioral therapy and motivational interviewing. Although no FDA-approved medication exists for methamphetamine use disorder, emerging evidence supports combined extended-release naltrexone and bupropion as a promising approach. Digital modalities, including telehealth and secure tablet-based programming, expand access in resource-limited facilities and support continuity-of-care during high-risk custody transitions. Policy reforms, notably Medicaid Section 1115 Reentry Demonstrations and ADA-aligned standards recognizing MOUD as a clinical necessity, are reshaping correctional health delivery by reducing coverage disruptions and institutionalizing continuity-of-care models. Emerging precision approaches, including pharmacogenomics and digital therapeutics, offer potential scalable pathways toward more individualized treatment. Collectively, the evidence supports a shift from fragmented, crisis-driven responses toward coordinated, recovery-oriented systems that integrate pharmacologic, behavioral, digital, and reentry supports to reduce overdose mortality and improve reintegration outcomes among justice-involved populations.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Substance Use Disorders</kwd>
        <kwd>Correctional Health</kwd>
        <kwd>Psychotherapy</kwd>
        <kwd>Medication-Assisted Treatment</kwd>
        <kwd>Faith-Based Interventions</kwd>
        <kwd>Pharmacogenomics</kwd>
        <kwd>Digital Health</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>Substance use disorders (SUDs) are among the most prevalent and complex health conditions affecting justice-involved populations, frequently co-occurring with psychiatric illness, trauma exposure, and criminogenic risk factors. Defined by the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5) as maladaptive substance use causing clinically significant impairment ([<xref ref-type="bibr" rid="B2">2</xref>]). SUDs affect tens of millions of people worldwide, according to the United Nations Office on Drugs and Crime World Drug Report ([<xref ref-type="bibr" rid="B168">168</xref>]) and occur at rates nearly ten times higher among incarcerated individuals (e.g., state/federal prisoners and jail detainees) than in the general population ([<xref ref-type="bibr" rid="B12">12</xref>]; [<xref ref-type="bibr" rid="B45">45</xref>]).</p>
      <p>Incarcerated individuals with SUDs often face layered clinical and psychosocial challenges, as these disorders rarely occur in isolation. High rates of comorbid psychiatric disorders—such as depression, PTSD, anxiety, and bipolar disorder ([<xref ref-type="bibr" rid="B117">117</xref>]; [<xref ref-type="bibr" rid="B118">118</xref>]; [<xref ref-type="bibr" rid="B18">18</xref>])—underscore the need for integrated rather than fragmented treatment approaches, as poor coordination increases relapse and recidivism risk ([<xref ref-type="bibr" rid="B83">83</xref>]).</p>
      <p>Despite progress in neurobiology, psychopharmacology, and psychotherapy, access to evidence-based treatment remains limited in correctional settings, particularly for marginalized groups disproportionately affected by structural inequities including differences by conviction type, race, and ethnicity—further magnify disparities in access and outcomes ([<xref ref-type="bibr" rid="B26">26</xref>]). To close these gaps, correctional systems should adopt trauma-informed, integrated, and precision-medicine-oriented models emphasizing standardized screening, timely initiation of medications for opioid use disorder, trauma-focused psychotherapy, and prerelease care coordination ([<xref ref-type="bibr" rid="B115">115</xref>]; [<xref ref-type="bibr" rid="B62">62</xref>]; [<xref ref-type="bibr" rid="B110">110</xref>]).</p>
      <p>Because correctional settings differ substantially in length of stay, treatment capacity, and continuity-of-care infrastructure, this review distinguishes evidence from prisons, jails, and community supervision settings where implementation considerations vary. Accordingly, this narrative review synthesizes evidence on the burden and pathophysiological mechanisms of SUDs in correctional populations. It critically evaluates psychotherapeutic and pharmacological interventions, examines policy and systems-level approaches supporting reentry and continuity of care and identifies future directions leveraging precision medicine and digital therapeutics.</p>
    </sec>
    <sec id="sec2">
      <title>2. Methods</title>
      <sec id="sec2dot1">
        <title>2.1. Literature Search Strategy</title>
        <p>We searched PubMed and Scopus for English-language publications published between January 1, 2015 and March 10, 2026. The core PubMed search string included the following terms:</p>
        <p>(“substance use disorder” OR addiction OR opioid OR methamphetamine OR stimulant) AND (prison OR prisons OR jail* OR correction* OR incarcerated OR “community reentry” OR parole OR probation) AND (treatment OR “medication for opioid use disorder” OR MOUD OR methadone OR buprenorphine OR naltrexone OR “extended-release naltrexone” OR psychotherapy OR “cognitive behavioral therapy” OR “motivational interviewing” OR telehealth OR “digital health” OR reentry).</p>
        <p>Equivalent search syntax was adapted for Scopus using TITLE-ABS-KEY fields. In addition to database searches, targeted searches of U.S. government and quasi-government sources—including the U.S. Department of Justice (DOJ), Substance Abuse and Mental Health Services Administration (SAMHSA), National Institutes of Health/National Institute on Drug Abuse (NIH/NIDA), Centers for Disease Control and Prevention (CDC), and Centers for Medicare &amp; Medicaid Services (CMS)—were conducted using keyword combinations such as “MOUD jail,” “MOUD prison,” “Medicaid 1115 reentry,” and “correctional telehealth SUD.”</p>
        <p>Retrieved records were compiled and screened for eligibility. Duplicate records were removed through automated matching of titles, authors, and publication year, followed by manual verification. Eligibility was assessed through title and abstract screening, with full-text review conducted when necessary. Studies focusing on correctional or reentry populations and addressing epidemiology, mechanisms, screening or diagnosis, treatment, implementation strategies, digital health modalities, or policy were prioritized for inclusion.</p>
      </sec>
      <sec id="sec2dot2">
        <title>2.2. Inclusion Criteria and Narrative Synthesis</title>
        <p>Inclusion criteria emphasized research on correctional or reentry populations addressing epidemiologic, neurobiologic, genetic, psychotherapeutic, pharmacologic, or policy aspects of SUD care. Reference lists of key articles were screened to capture implementation and translational studies. Given the heterogeneity of evidence, a narrative synthesis approach was employed to integrate quantitative findings, policy frameworks, and implementation outcomes and to identify cross-cutting biological, behavioral, and systemic themes.</p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>3. Results</title>
      <p>In this review, we use “prisons” to denote longer-term state/federal confinement, “jails” to denote shorter-term local detention with rapid turnover, and “community supervision” to include probation, parole, and community reentry. These settings differ materially in expected length of stay, feasibility of medication induction and stabilization, availability of on-site prescribers/Opioid Treatment Program (OTPs), and the operational capacity to ensure continuity of care across transitions; therefore, implementation implications are described by setting where possible.</p>
      <sec id="sec3dot1">
        <title>3.1. Epidemiology and Burden of SUDs in Correctional Settings</title>
        <p>SUDs are vastly overrepresented in correctional populations, with lifetime prevalence exceeding 60% versus ~5% in the general U.S. population ([<xref ref-type="bibr" rid="B12">12</xref>]). Serious mental illnesses—major depression, schizophrenia, and bipolar disorder—frequently co-occur ([<xref ref-type="bibr" rid="B45">45</xref>]). Formerly incarcerated individuals face sharply elevated mortality during the early post-release period, driven primarily by drug overdose, followed by cardiovascular disease, homicide, and suicide ([<xref ref-type="bibr" rid="B8">8</xref>]; [<xref ref-type="bibr" rid="B108">108</xref>]). In statewide prison-release cohort studies, overdose mortality risk is highest during the first weeks following release from incarceration, particularly within the first 2 - 4 weeks, highlighting the importance of initiating medications for opioid use disorder prior to release and ensuring rapid linkage to community treatment ([<xref ref-type="bibr" rid="B8">8</xref>]; [<xref ref-type="bibr" rid="B62">62</xref>]).</p>
      </sec>
      <sec id="sec3dot2">
        <title>3.2. Etiology and Risk Factors</title>
        <p>Addiction in justice-involved populations reflects complex interactions among genetic predisposition, environmental stressors, and psychological vulnerability. Twin and family studies estimate that genetic factors account for approximately 40% - 70% of the vulnerability to SUDs, depending on the substance involved ([<xref ref-type="bibr" rid="B59">59</xref>]; [<xref ref-type="bibr" rid="B32">32</xref>]). Addictive disorders arise from dysregulated mesolimbic dopamine and glutamatergic signaling that drive pathological reward learning and compulsive drug seeking ([<xref ref-type="bibr" rid="B172">172</xref>]; [<xref ref-type="bibr" rid="B180">180</xref>]; [<xref ref-type="bibr" rid="B75">75</xref>]). Concurrent prefrontal and frontostriatal impairments weaken executive control and inhibitory regulation, further reinforcing maladaptive drug use patterns ([<xref ref-type="bibr" rid="B60">60</xref>]; [<xref ref-type="bibr" rid="B86">86</xref>]). Interactions between genetic and early-life stress factors further modify these neural systems, increasing susceptibility to addiction ([<xref ref-type="bibr" rid="B40">40</xref>]).</p>
        <p>Chronic stress, adverse childhood experiences ([<xref ref-type="bibr" rid="B47">47</xref>]; [<xref ref-type="bibr" rid="B3">3</xref>]), mood and anxiety disorders ([<xref ref-type="bibr" rid="B61">61</xref>]), and socioeconomic disadvantage ([<xref ref-type="bibr" rid="B67">67</xref>]) compound vulnerability to substance use in incarcerated populations. Early maltreatment alters stress-response systems and brain development, promoting emotional dysregulation and impulsivity ([<xref ref-type="bibr" rid="B3">3</xref>]; [<xref ref-type="bibr" rid="B47">47</xref>]). Incarcerated individuals report disproportionately high adversity—nearly fourfold that of community samples ([<xref ref-type="bibr" rid="B138">138</xref>]). Trauma exposure during adolescence, often through community violence, disrupts regulation and heightens risk for later substance misuse ([<xref ref-type="bibr" rid="B113">113</xref>]). These experiences intersect with stigma and structural disadvantage, limiting coping and recovery resources ([<xref ref-type="bibr" rid="B67">67</xref>]). Within carceral settings, untreated psychiatric comorbidities exacerbate SUD severity and impede rehabilitation ([<xref ref-type="bibr" rid="B61">61</xref>])<bold>.</bold> Chronic exposure to stressors, trauma, and dysregulated environments produces lasting disruptions across subjective, cognitive, and neurobiological components of the adaptive stress-response system, increasing craving, relapse risk, and maladaptive coping ([<xref ref-type="bibr" rid="B151">151</xref>]).</p>
      </sec>
      <sec id="sec3dot3">
        <title>3.3. Neurobiological Underpinnings of Addiction in Justice-Involved Populations</title>
        <p>Justice-involved individuals often exhibit neurobiological vulnerability shaped by chronic stress and trauma. These adverse experiences induce lasting changes in reward-stress circuitry, predisposing to compulsive drug seeking ([<xref ref-type="bibr" rid="B87">87</xref>]). During withdrawal, within-system reward deficits and stress activation (Corticotropin releasing factor, dynorphin, norepinephrine) contribute to pathological negative affect ([<xref ref-type="bibr" rid="B85">85</xref>]). </p>
        <p>Neuroimmune and gut-brain interactions further influence relapse susceptibility ([<xref ref-type="bibr" rid="B99">99</xref>]; [<xref ref-type="bibr" rid="B51">51</xref>]). Environmental stressors common in carceral contexts—poor nutrition, infection, circadian disruption—exacerbate neuroinflammation and cognitive impairment. Social learning frameworks complement neurobiological evidence by showing that drug use persists through reinforcement and environmental contingencies ([<xref ref-type="bibr" rid="B153">153</xref>]).</p>
        <p>Effective correctional interventions should therefore address both neurobiological factors and social dynamics.</p>
      </sec>
      <sec id="sec3dot4">
        <title>3.4. Genetic and Pharmacogenomic Factors</title>
        <p>Genomic studies (<bold>Table 1</bold>) have identified numerous variants influencing susceptibility, neurobiological signaling, and treatment response in substance use disorders (SUDs) ([<xref ref-type="bibr" rid="B32">32</xref>]; [<xref ref-type="bibr" rid="B97">97</xref>]; [<xref ref-type="bibr" rid="B52">52</xref>]). In addition to inherited genetic variation, transcriptional regulators such as immediate early genes (e.g., CREB1 and FOSB) play a key role in linking drug exposure to downstream changes in neuronal gene expression and synaptic plasticity ([<xref ref-type="bibr" rid="B124">124</xref>]). Consistent with these mechanisms, variants in <italic>ADH</italic>1B and <italic>ALDH</italic>2 affect alcohol metabolism ([<xref ref-type="bibr" rid="B188">188</xref>]; [<xref ref-type="bibr" rid="B39">39</xref>]; [<xref ref-type="bibr" rid="B53">53</xref>]), while <italic>CHRNA</italic>5-<italic>CHRNA</italic>3-<italic>CHRNB</italic>4 influence nicotine dependence through nicotinic acetylcholine receptor signaling that mediates synaptic transmission ([<xref ref-type="bibr" rid="B166">166</xref>]; [<xref ref-type="bibr" rid="B32">32</xref>]). Variants in <italic>OPRM1</italic> (rs1799971), <italic>OPRD1</italic>, and <italic>GABRA2</italic> confer risk for opioid and polysubstance dependence ([<xref ref-type="bibr" rid="B64">64</xref>]; [<xref ref-type="bibr" rid="B82">82</xref>]; [<xref ref-type="bibr" rid="B189">189</xref>]; [<xref ref-type="bibr" rid="B152">152</xref>]; [<xref ref-type="bibr" rid="B120">120</xref>]; [<xref ref-type="bibr" rid="B41">41</xref>]; [<xref ref-type="bibr" rid="B112">112</xref>]; [<xref ref-type="bibr" rid="B103">103</xref>]). Variants in <italic>KCNJ</italic>6, which influence neuronal excitability and neural oscillations, further demonstrate genetic modulation of reward circuitry ([<xref ref-type="bibr" rid="B76">76</xref>]). Dopaminergic genes such as <italic>DRD</italic>2/<italic>ANKK</italic>1 and <italic>SLC6A</italic>3 highlight the role of mesolimbic reward pathways in addiction vulnerability ([<xref ref-type="bibr" rid="B176">176</xref>]; [<xref ref-type="bibr" rid="B169">169</xref>]; [<xref ref-type="bibr" rid="B13">13</xref>]; [<xref ref-type="bibr" rid="B77">77</xref>]).</p>
        <p>Table 1. Genes and substances in substance use disorders.</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Gene</bold>
                </td>
                <td>
                  <bold>Substance/</bold>
                  <bold>Phenotype</bold>
                </td>
                <td>
                  <bold>Functional Role</bold>
                </td>
                <td>
                  <bold>References</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <italic>
                    <bold>ADH</bold>
                  </italic>
                  <bold>1</bold>
                  <italic>
                    <bold>B, ALDH</bold>
                  </italic>
                  <bold>2</bold>
                </td>
                <td>AUD</td>
                <td>Ethanol metabolism</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B39">39</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B53">53</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B188">188</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <italic>
                    <bold>GABRA</bold>
                  </italic>
                  <bold>2</bold>
                </td>
                <td>AUD, Polysubstance</td>
                <td>GABA-A receptor subunit</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B41">41</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B112">112</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B103">103</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <italic>
                    <bold>CHRNA</bold>
                  </italic>
                  <bold>5</bold>
                  <italic>
                    <bold>-</bold>
                  </italic>
                  <italic>
                    <bold>CHRNA</bold>
                  </italic>
                  <bold>3</bold>
                  <italic>
                    <bold>-CHRNB</bold>
                  </italic>
                  <bold>4</bold>
                </td>
                <td>Nicotine Dependence</td>
                <td>Nicotinic acetylcholine receptor</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B166">166</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B32">32</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <italic>
                    <bold>OPRM</bold>
                  </italic>
                  <bold>1</bold>
                  <bold>(</bold>
                  <italic>
                    <bold>A</bold>
                  </italic>
                  <bold>118</bold>
                  <italic>
                    <bold>G</bold>
                  </italic>
                  <bold>),</bold>
                  <italic>
                    <bold>OPRD</bold>
                  </italic>
                  <bold>,</bold>
                  <italic>
                    <bold>KCNJ</bold>
                  </italic>
                  <bold>6</bold>
                  <italic>
                    <bold>; FURIN</bold>
                  </italic>
                  <bold>,</bold>
                  <italic>
                    <bold>NCAM</bold>
                  </italic>
                  <bold>1</bold>
                </td>
                <td>Opioid Use Disorder (OUD), Pain</td>
                <td>μ-Opioid receptor, neuronal plasticity and remodeling</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B64">64</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B120">120</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B76">76</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B82">82</xref>
                  ], [
                  <xref ref-type="bibr" rid="B189">189</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B152">152</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <italic>
                    <bold>CYP</bold>
                  </italic>
                  <bold>2</bold>
                  <italic>
                    <bold>B</bold>
                  </italic>
                  <bold>6,</bold>
                  <italic>
                    <bold>ABCB</bold>
                  </italic>
                  <bold>1</bold>
                </td>
                <td>Methadone, Bupropion, Nicotine</td>
                <td>Cytochrome P450 drug metabolism</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B141">141</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B92">92</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <italic>
                    <bold>CYP</bold>
                  </italic>
                  <bold>2</bold>
                  <italic>
                    <bold>D</bold>
                  </italic>
                  <bold>6,</bold>
                  <italic>
                    <bold>COMT</bold>
                  </italic>
                </td>
                <td>Codeine, Antidepressançts</td>
                <td>Cytochrome P450 drug metabolism</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B30">30</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B69">69</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <italic>
                    <bold>DRD</bold>
                  </italic>
                  <bold>2</bold>
                  <italic>
                    <bold>/ANKK</bold>
                  </italic>
                  <bold>1</bold>
                  <bold>(</bold>
                  <italic>
                    <bold>Taq</bold>
                  </italic>
                  <bold>1</bold>
                  <italic>
                    <bold>A</bold>
                  </italic>
                  <bold>)</bold>
                </td>
                <td>AUD, Cocaine, Polysubstance</td>
                <td>Dopamine D2 receptor signaling</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B176">176</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B69">69</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <italic>
                    <bold>FKBP</bold>
                  </italic>
                  <bold>5,</bold>
                  <italic>
                    <bold>CRHR</bold>
                  </italic>
                  <bold>1</bold>
                </td>
                <td>OUD/Heroin, Stress-related relapse</td>
                <td>Hypothalamic-pituitary- adrenal (HPA) axis regulation</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B93">93</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B7">7</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <italic>
                    <bold>SLC</bold>
                  </italic>
                  <bold>6</bold>
                  <italic>
                    <bold>A</bold>
                  </italic>
                  <bold>3</bold>
                  <bold>(</bold>
                  <italic>
                    <bold>DAT</bold>
                  </italic>
                  <bold>1)</bold>
                </td>
                <td>Cocaine, ADHD comorbidity</td>
                <td>Dopamine transporter</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B13">13</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B77">77</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <italic>
                    <bold>GRIN</bold>
                  </italic>
                  <bold>2</bold>
                  <italic>
                    <bold>B</bold>
                  </italic>
                </td>
                <td>Alcohol, Ketamine, Psychostimulants</td>
                <td>NMDA receptor subunit</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B80">80</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B44">44</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <italic>
                    <bold>HTR</bold>
                  </italic>
                  <bold>2</bold>
                  <italic>
                    <bold>A</bold>
                  </italic>
                  <bold>,</bold>
                  <italic>
                    <bold>HTR</bold>
                  </italic>
                  <bold>1</bold>
                  <italic>
                    <bold>B</bold>
                  </italic>
                </td>
                <td>AUD, MDMA, Hallucinogens</td>
                <td>Serotonin receptors</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B149">149</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B22">22</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <italic>
                    <bold>FOXP</bold>
                  </italic>
                  <bold>2,</bold>
                  <italic>
                    <bold>CHRNA</bold>
                  </italic>
                  <bold>2,</bold>
                  <italic>
                    <bold>CNR</bold>
                  </italic>
                  <bold>1</bold>
                  <bold>(</bold>
                  <italic>
                    <bold>CB</bold>
                  </italic>
                  <bold>1</bold>
                  <italic>
                    <bold>receptor</bold>
                  </italic>
                  <bold>)</bold>
                  <italic>
                    <bold>; MCCC</bold>
                  </italic>
                  <bold>2</bold>
                  <italic>
                    <bold>; SLC</bold>
                  </italic>
                  <bold>36</bold>
                  <italic>
                    <bold>A</bold>
                  </italic>
                  <bold>2</bold>
                </td>
                <td>CUD</td>
                <td>Endocannabinoid signaling</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B98">98</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B91">91</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <italic>
                    <bold>BDNF</bold>
                  </italic>
                  <bold>(</bold>
                  <italic>
                    <bold>Val</bold>
                  </italic>
                  <bold>66</bold>
                  <italic>
                    <bold>Met</bold>
                  </italic>
                  <bold>),</bold>
                  <italic>
                    <bold>SLC</bold>
                  </italic>
                  <bold>6</bold>
                  <italic>
                    <bold>A</bold>
                  </italic>
                  <bold>4,</bold>
                  <italic>
                    <bold>FAAH</bold>
                  </italic>
                  <bold>,</bold>
                  <italic>
                    <bold>SLC</bold>
                  </italic>
                  <bold>18</bold>
                  <italic>
                    <bold>A</bold>
                  </italic>
                  <bold>1,</bold>
                  <italic>
                    <bold>SLC</bold>
                  </italic>
                  <bold>18</bold>
                  <italic>
                    <bold>A</bold>
                  </italic>
                  <bold>2</bold>
                </td>
                <td>Cocaine, METH, Heroin, MUD, Polysubstance</td>
                <td>Endocannabinoid metabolism, Monoamine vesicular transport Neuroplasticity, Serotonin reuptake</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B84">84</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B27">27</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B63">63</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <italic>
                    <bold>CHRM</bold>
                  </italic>
                  <bold>1</bold>
                  <italic>
                    <bold>&amp;</bold>
                  </italic>
                  <bold>2 (M1 &amp; M2 muscarinic receptor)</bold>
                </td>
                <td>AUD, Depression</td>
                <td>Muscarinic acetylcholine receptor</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B174">174</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B181">181</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B101">101</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B177">177</xref>
                  ]
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>AUD = Alcohol Use Disorder; OUD = Opioid Use Disorder; CUD = Cannabis Use Disorder; METH = Methamphetamine; MUD = Methamphetamine Use Disorder; MDMA = 3,4-methylenedioxymethamphetamine.; [<xref ref-type="bibr" rid="B54">54</xref>]—Human Genes|Gene Database| Gene Search.</p>
        <p>Additional pathways implicated in addiction include serotonergic (<italic>HTR</italic>2<italic>A</italic>, <italic>HTR</italic>1<italic>B</italic>), glutamatergic (GRIN2B), and stress-response genes (<italic>FKBP</italic>5, <italic>CRHR</italic>1), which link mood regulation and stress reactivity to addiction risk ([<xref ref-type="bibr" rid="B149">149</xref>]; [<xref ref-type="bibr" rid="B22">22</xref>]; [<xref ref-type="bibr" rid="B93">93</xref>]; [<xref ref-type="bibr" rid="B44">44</xref>]; [<xref ref-type="bibr" rid="B80">80</xref>]; [<xref ref-type="bibr" rid="B7">7</xref>]). Variants in <italic>CNR</italic>1 and <italic>FAAH</italic> modulate endocannabinoid signaling pathways involved in stress response and relapse vulnerability ([<xref ref-type="bibr" rid="B98">98</xref>]; [<xref ref-type="bibr" rid="B91">91</xref>]). Emerging evidence also implicates <italic>BDNF</italic> Val66Met, <italic>FAAH</italic> C385A, and <italic>SLC</italic>18<italic>A</italic>1/<italic>A</italic>2 in methamphetamine use disorder, linking neuroplasticity, cognition, and relapse processes ([<xref ref-type="bibr" rid="B84">84</xref>]; [<xref ref-type="bibr" rid="B27">27</xref>]; [<xref ref-type="bibr" rid="B63">63</xref>]). Muscarinic receptor genes (<italic>CHRM</italic>1, <italic>CHRM</italic>4, <italic>CHRM</italic>5) have also shown therapeutic potential in alcohol use disorder and comorbid depression ([<xref ref-type="bibr" rid="B174">174</xref>]; [<xref ref-type="bibr" rid="B181">181</xref>]; [<xref ref-type="bibr" rid="B101">101</xref>]; [<xref ref-type="bibr" rid="B177">177</xref>]).</p>
        <p>Pharmacogenomic polymorphisms—particularly in <italic>CYP</italic>2<italic>B</italic>6 and <italic>CYP</italic>2<italic>D</italic>6—influence metabolism and treatment response to several addiction and psychiatric medications ([<xref ref-type="bibr" rid="B141">141</xref>]; [<xref ref-type="bibr" rid="B92">92</xref>]; [<xref ref-type="bibr" rid="B69">69</xref>]; [<xref ref-type="bibr" rid="B56">56</xref>]; [<xref ref-type="bibr" rid="B55">55</xref>]). Despite growing pharmacogenomic evidence involving these and other genes, genetic testing has not yet been widely implemented in correctional health systems, leaving precision medicine approaches largely unrealized in these settings.</p>
      </sec>
      <sec id="sec3dot5">
        <title>3.5. Challenges in Diagnosing and Screening in Correctional Settings</title>
        <p>Substance use disorders (SUDs) are chronic, relapsing brain-based conditions characterized by compulsive substance use despite adverse consequences, arising from alterations in neural circuits governing reward, motivation, and self-control ([<xref ref-type="bibr" rid="B170">170</xref>]). The DSM-5 defines SUDs using 11 diagnostic criteria encompassing impaired control, risky use, social impairment, and pharmacologic dependence ([<xref ref-type="bibr" rid="B2">2</xref>]), while complementary diagnostic classifications are provided by the International Classification of Diseases, 11th Revision (ICD-11) ([<xref ref-type="bibr" rid="B183">183</xref>]).</p>
        <p>As summarized in <bold>Table 2</bold>, accurate identification of SUDs in correctional settings is frequently complicated by high rates of psychiatric comorbidity, trauma exposure, and pervasive stigma ([<xref ref-type="bibr" rid="B170">170</xref>]; [<xref ref-type="bibr" rid="B83">83</xref>]; [<xref ref-type="bibr" rid="B18">18</xref>]; [<xref ref-type="bibr" rid="B117">117</xref>]; [<xref ref-type="bibr" rid="B118">118</xref>]) as well as the overall high prevalence of SUDs in incarcerated populations relative to the general population ([<xref ref-type="bibr" rid="B12">12</xref>]; [<xref ref-type="bibr" rid="B4">4</xref>]; [<xref ref-type="bibr" rid="B187">187</xref>]). Validated screening instruments—including the Alcohol Use Disorders Identification Test (AUDIT), Drug Abuse Screening Test (DAST), and the Screening, Brief Intervention, and Referral to Treatment (SBIRT) framework—have demonstrated effectiveness in improving early detection and facilitating linkage to treatment services ([<xref ref-type="bibr" rid="B12">12</xref>]; [<xref ref-type="bibr" rid="B4">4</xref>]; [<xref ref-type="bibr" rid="B102">102</xref>]; [<xref ref-type="bibr" rid="B187">187</xref>]; [<xref ref-type="bibr" rid="B159">159</xref>]). However, many screening tools were originally developed for primary care or community settings and may require adaptation for carceral environments where privacy, staffing resources, and clinical infrastructure are limited ([<xref ref-type="bibr" rid="B165">165</xref>]; [<xref ref-type="bibr" rid="B73">73</xref>]).</p>
        <p>Table 2. Challenges and emerging solutions for substance use disorders in U.S. prison populations.</p>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Challenge</bold>
                </td>
                <td>
                  <bold>Impact</bold>
                </td>
                <td>
                  <bold>Emerging Solutions</bold>
                  <bold>/Best Practices</bold>
                </td>
                <td>
                  <bold>References</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>High prevalence</bold>
                  <bold>of SUD</bold>
                </td>
                <td>Rates far exceed general population</td>
                <td>Universal screening at intake; standardized tools (AUDIT, DAST, TCU)</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B12">12</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B4">4</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B187">187</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Limited</bold>
                  <bold>access to</bold>
                  <bold>evidence</bold>
                  <bold>-</bold>
                  <bold>based treatments</bold>
                </td>
                <td>Unmet need; higher relapse/overdose</td>
                <td>Expand MOUD access (methadone, buprenorphine, naltrexone)</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B115">115</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B62">62</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Stigma toward MOUD and MH care</bold>
                </td>
                <td>Reduced uptake and retention</td>
                <td>Staff training in addiction neuroscience; peer educator programs</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B115">115</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B38">38</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Co</bold>
                  <bold>occurring mental health disorders</bold>
                </td>
                <td>Higher relapse/ recidivism; complexity</td>
                <td>Integrated dual-diagnosis care; traumainformed CBT/DBT</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B83">83</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B18">18</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B117">117</xref>
                  ] Institute on Drug Abuse, 2018; [
                  <xref ref-type="bibr" rid="B118">118</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Disruption of care at release</bold>
                </td>
                <td>Early post-release overdose risk</td>
                <td>Medicaid suspension vs termination; warm handoffs; pre-release planning</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B110">110</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B8">8</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Understaffing of behavioral health providers</bold>
                </td>
                <td>Waits; reduced engagement</td>
                <td>Telehealth expansion; crosstraining custody staff</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B144">144</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B35">35</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Limited</bold>
                  <bold>precision</bold>
                  <bold>medicine</bold>
                  <bold>integration</bold>
                </td>
                <td>One-size-fits-all; suboptimal matching</td>
                <td>Pharmacogenomics; digital therapeutics</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B10">10</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B30">30</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B69">69</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B144">144</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Coverage gaps at transition</bold>
                  <bold>(insurance/</bold>
                  <bold>benefits)</bold>
                </td>
                <td>Delayed treatment restart; overdose risk</td>
                <td>Implement Medicaid Section 1115 reentry waivers to activate benefits prerelease; align formularies with community care</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B14">14</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B70">70</xref>
                  ]
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>MOUD = Medications for Opioid Use Disorder; NASEM = National Academies of Sciences, Engineering and Medicine; AUDIT = Alcohol Use Disorders Identification Test; DAST = Drug Abuse Screening Test; CBT = Cognitive Behavioral Therapy; DBT = Dialectical Behavior Therapy.</p>
        <p>Limited access to evidence-based treatments further exacerbates unmet clinical need and contributes to elevated risks of relapse and overdose, underscoring the importance of expanding access to medications for opioid use disorder (MOUD), including methadone, buprenorphine, and naltrexone ([<xref ref-type="bibr" rid="B115">115</xref>]; [<xref ref-type="bibr" rid="B62">62</xref>]). Stigma toward MOUD and mental health care further reduces uptake and retention, although staff training in addiction neuroscience and peer educator programs may im-prove engagement ([<xref ref-type="bibr" rid="B115">115</xref>]; [<xref ref-type="bibr" rid="B38">38</xref>]). Co-occurring mental health disorders are associated with higher relapse and recidivism and add clinical complexity, supporting the need for integrated dual-diagnosis care and trauma-informed approaches such as CBT and DBT ([<xref ref-type="bibr" rid="B83">83</xref>]; [<xref ref-type="bibr" rid="B18">18</xref>]; [<xref ref-type="bibr" rid="B117">117</xref>]; [<xref ref-type="bibr" rid="B118">118</xref>]).</p>
        <p>Disruption of care at release contributes to elevated overdose risk in the im-mediate post-release period, underscoring the importance of Medicaid suspen-sion (rather than termination), warm handoffs, and pre-release planning ([<xref ref-type="bibr" rid="B110">110</xref>]; [<xref ref-type="bibr" rid="B8">8</xref>]). Understaffing of behavioral health providers leads to delays and reduced engagement, though telehealth expansion and cross-training of custody staff may help address these gaps ([<xref ref-type="bibr" rid="B144">144</xref>]; [<xref ref-type="bibr" rid="B35">35</xref>]). Continued limited integration of precision medi-cine contributes to suboptimal treatment matching, with emerging approaches such as pharmacogenomics and digital therapeutics offering potential improve-ments ([<xref ref-type="bibr" rid="B10">10</xref>]; [<xref ref-type="bibr" rid="B30">30</xref>]; [<xref ref-type="bibr" rid="B69">69</xref>]; [<xref ref-type="bibr" rid="B144">144</xref>]). Coverage gaps during reentry, including delays in insur-ance activation and access to medications, further increase overdose risk; policy strategies such as Medicaid Section 1115 reentry waivers may help address these barriers ([<xref ref-type="bibr" rid="B14">14</xref>]; [<xref ref-type="bibr" rid="B70">70</xref>]).</p>
        <p>Accurate disclosure during screening is further hindered by underreporting related to fear of disciplinary or judicial consequences, limited confidentiality during intake assessments, and insufficient training of correctional staff in substance use assessment ([<xref ref-type="bibr" rid="B4">4</xref>]; [<xref ref-type="bibr" rid="B165">165</xref>]). Implementation of universal intake screening using validated instruments, combined with trauma-informed clinical assessment—including suicide risk evaluation—represents best practice for identifying SUDs and guiding individualized treatment planning. Evidence suggests that under-detection of SUDs in correctional environments is driven less by diagnostic uncertainty than by structural barriers, including stigma, fear of punishment, and workforce limitations within correctional health systems. Qualitative research further highlights how individuals who co-use opioids and methamphetamine often experience criminal legal involvement and mandated treatment as stigmatizing or coercive, which may undermine trust in treatment systems and reduce engagement in care ([<xref ref-type="bibr" rid="B72">72</xref>]).</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>4. Innovative Treatment and Reentry Strategies for SUDs in Correctional Settings</title>
      <p>Emerging innovations in substance use disorder (SUD) treatment within correctional settings span multiple domains, including precision medicine, digital health, pharmacotherapy, and policy reform (see <bold>Table 3</bold>). Precision medicine approaches—particularly pharmacogenomic-guided prescribing—offer the potential to individualize treatment for co-occurring pain, psychiatric disorders, and addiction, thereby improving medication adherence and clinical outcomes ([<xref ref-type="bibr" rid="B10">10</xref>]; [<xref ref-type="bibr" rid="B56">56</xref>]; [<xref ref-type="bibr" rid="B55">55</xref>]; [<xref ref-type="bibr" rid="B30">30</xref>]; [<xref ref-type="bibr" rid="B69">69</xref>]).</p>
      <p>Table 3. Innovations and emerging strategies in prison SUD care.</p>
      <table-wrap id="tbl3">
        <label>Table 3</label>
        <table>
          <tbody>
            <tr>
              <td>
                <bold>Innovation</bold>
              </td>
              <td>
                <bold>Potential Impact</bold>
              </td>
              <td>
                <bold>References</bold>
              </td>
            </tr>
            <tr>
              <td>
                <bold>Pharmacogenomic</bold>
                <bold>profiling</bold>
              </td>
              <td>Enables personalizes medication selection and may improve adherence (Pain, Psychiatric disorders and Addiction Medicine)</td>
              <td>
                [
                <xref ref-type="bibr" rid="B55">55</xref>
                ]; [
                <xref ref-type="bibr" rid="B56">56</xref>
                ]; [
                <xref ref-type="bibr" rid="B10">10</xref>
                ]; [
                <xref ref-type="bibr" rid="B30">30</xref>
                ]; [
                <xref ref-type="bibr" rid="B69">69</xref>
                ]
              </td>
            </tr>
            <tr>
              <td>
                <bold>Telepsychiatry and Digital</bold>
                <bold>recovery</bold>
                <bold>platforms</bold>
              </td>
              <td>Expands access to behavioral health services where providers are scarce and supports ongoing engagement, relapse monitoring, and continuity of care during incarceration and reentry</td>
              <td>
                [
                <xref ref-type="bibr" rid="B144">144</xref>
                ]; [
                <xref ref-type="bibr" rid="B33">33</xref>
                ]; [
                <xref ref-type="bibr" rid="B156">156</xref>
                ]; [
                <xref ref-type="bibr" rid="B104">104</xref>
                ]; [
                <xref ref-type="bibr" rid="B9">9</xref>
                ]; [
                <xref ref-type="bibr" rid="B143">143</xref>
                ]
              </td>
            </tr>
            <tr>
              <td>
                <bold>Extended-release</bold>
                <bold>Naltrexone +</bold>
                <bold>Bupropion for MUD</bold>
              </td>
              <td>Demonstrates emerging pharmacologic efficacy for stimulant use disorder when combined with behavioral therapy</td>
              <td>
                [
                <xref ref-type="bibr" rid="B167">167</xref>
                ]
              </td>
            </tr>
            <tr>
              <td>
                <bold>Pre</bold>
                <bold>release</bold>
                <bold>Medicaid</bold>
                <bold>activation &amp; care</bold>
                <bold>navigation</bold>
                <bold>(e.g., CalAIM)</bold>
              </td>
              <td>Improves continuity and reduces early postrelease overdose risk by enabling linkage to MOUD and community care/telehealth followup</td>
              <td>
                [
                <xref ref-type="bibr" rid="B50">50</xref>
                ]; [
                <xref ref-type="bibr" rid="B23">23</xref>
                ]; [
                <xref ref-type="bibr" rid="B1">1</xref>
                ]
              </td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p>MOUD = Medications for Opioid Use Disorder; MUD = Methamphetamine Use Disorder.</p>
      <p>Digital health interventions, including telepsychiatry and recovery support platforms, are increasingly critical in correctional environments where provider shortages limit access to care. These technologies expand access to behavioral treatment, enable ongoing monitoring, and support continuity of care during the transition from incarceration to community reentry ([<xref ref-type="bibr" rid="B9">9</xref>]; [<xref ref-type="bibr" rid="B33">33</xref>]; [<xref ref-type="bibr" rid="B104">104</xref>]; [<xref ref-type="bibr" rid="B156">156</xref>]; [<xref ref-type="bibr" rid="B144">144</xref>]).</p>
      <p>At the pharmacologic level, emerging evidence supports the use of combined ex-tended-release naltrexone and bupropion for methamphetamine use disorder (MUD), representing a promising advancement in a treatment area historically lacking effective medications ([<xref ref-type="bibr" rid="B167">167</xref>]). When integrated with behav-ioral therapies, such pharmacologic strategies align with a growing body of evi-dence demonstrating that combined medication and psychosocial interventions improve retention and reduce relapse among justice-involved individuals ([<xref ref-type="bibr" rid="B110">110</xref>]; [<xref ref-type="bibr" rid="B35">35</xref>]).</p>
      <p>Policy innovations further strengthen reentry outcomes by addressing systemic gaps in care continuity. Pre-release Medicaid activation and care navigation pro-grams (e.g., CalAIM) facilitate timely linkage to medications for opioid use dis-order (MOUD), community-based services, and telehealth follow-up, thereby reducing overdose risk during the high-risk post-release period ([<xref ref-type="bibr" rid="B23">23</xref>]; [<xref ref-type="bibr" rid="B50">50</xref>]; [<xref ref-type="bibr" rid="B1">1</xref>]).</p>
      <p>Collectively, these innovations reflect a shift toward integrated, patient-centered, and continuity-focused models of care. As summarized in <bold>Table 3</bold>, their combined implementation has the potential to address longstanding fragmentation between correctional and community health systems, ultimately improving treatment engagement, reducing relapse, and lowering overdose risk during reentry. Despite these advances, implementation remains uneven across correctional systems, particularly in resource-limited settings. Together, these innovations signal a paradigm shift from fragmented, episodic care toward coordinated, continuous, and evidence-based treatment across the incarceration-reentry continuum.</p>
      <sec id="sec4dot1">
        <title>4.1. Evidence-Based Psychotherapies</title>
        <p>1) Cognitive-behavioral therapy (CBT): CBT focuses on restructuring maladaptive thoughts and behaviors that contribute to substance use and relapse. In U.S. prison populations, CBT-based interventions have demonstrated moderate efficacy in reducing criminal thinking and recidivism, with meta-analyses consistently identifying structured, group-based CBT programs as among the most effective correctional rehabilitation approaches ([<xref ref-type="bibr" rid="B89">89</xref>]; [<xref ref-type="bibr" rid="B128">128</xref>]). Within substance use treatment specifically, CBT-informed therapeutic community and relapse prevention models implemented in U.S. prisons have shown improvements in drug use outcomes and post-release functioning ([<xref ref-type="bibr" rid="B178">178</xref>]; [<xref ref-type="bibr" rid="B132">132</xref>]). </p>
        <p>Trauma-informed interventions such as Seeking Safety reduce PTSD symptoms and improve coping skills among incarcerated women. Group-based CBT and CM interventions enhance engagement and reduce relapse when paired with structured aftercare ([<xref ref-type="bibr" rid="B110">110</xref>]; [<xref ref-type="bibr" rid="B3">3</xref>]).</p>
        <p>Clinical trials demonstrate that CBT reduces craving and psychiatric symptoms in individuals with methamphetamine use disorder ([<xref ref-type="bibr" rid="B148">148</xref>]; [<xref ref-type="bibr" rid="B74">74</xref>]). Similarly, combined MI-CBT formats significantly increase abstinence rates and reduce adverse outcomes associated with methamphetamine use ([<xref ref-type="bibr" rid="B5">5</xref>]; [<xref ref-type="bibr" rid="B154">154</xref>]). Digital and telehealth platforms now deliver CBT effectively in resource-limited correctional facilities ([<xref ref-type="bibr" rid="B136">136</xref>]; [<xref ref-type="bibr" rid="B130">130</xref>]). These findings support CBT as a foundational modality in correctional substance use disorder programming, consistent with risk-need-responsivity principles and the structured delivery formats typical of U.S. prison systems.</p>
        <p>Across clinical trials and implementation studies, no single psychotherapy demonstrates superiority; rather, structured, evidence-based modalities delivered consistently and paired with pharmacotherapy produce the most durable outcomes. Evidence further supports integrated treatment models combining psychotherapy and pharmacotherapy. </p>
        <p>2) Motivational interviewing (MI): MI is a collaborative, person-centered approach designed to enhance intrinsic motivation and resolve ambivalence toward change ([<xref ref-type="bibr" rid="B17">17</xref>]). MI has been shown to increase treatment engagement and adherence ([<xref ref-type="bibr" rid="B100">100</xref>]), particularly when combined with other behavioral interventions such as contingency management ([<xref ref-type="bibr" rid="B145">145</xref>]). In correctional settings, MI is especially effective for individuals entering treatment involuntarily and helps promote sustained participation in treatment programs ([<xref ref-type="bibr" rid="B106">106</xref>]). Consistent with the Substance Abuse and Mental Health Services Administration’s ([<xref ref-type="bibr" rid="B153">153</xref>]) Treatment Improvement Protocol (TIP) 35, MI emphasizes expressing empathy, eliciting clients’ own reasons for change, and strengthening commitment by helping individuals align behavior change with their personal values and goals for a healthy life. U.S.-based studies demonstrate that brief motivational interviewing delivered prior to jail release is feasible and associated with increased treatment entry, greater abstinence, and reductions in heavy substance use among incarcerated adults, with participants reporting high acceptability.</p>
        <p>Additionally, research in U.S. community corrections and juvenile detention settings ([<xref ref-type="bibr" rid="B157">157</xref>]; [<xref ref-type="bibr" rid="B126">126</xref>]; [<xref ref-type="bibr" rid="B155">155</xref>]) shows that MI-consistent clinician behaviors predict treatment initiation and improved drug use outcomes, and that brief MI interventions during incarceration can reduce post-release alcohol and marijuana use among justice-involved adolescents.</p>
        <p>3) Contingency Management (CM): Although CM demonstrates strong efficacy for stimulant use disorders in community treatment settings, evidence in U.S. correctional populations is more limited; available PubMed-indexed studies suggest that CM can improve substance use and supervision outcomes when implemented with adequate incentive magnitude and structured monitoring, whereas reduced or delayed reinforcement within justice settings may attenuate effectiveness ([<xref ref-type="bibr" rid="B48">48</xref>]; [<xref ref-type="bibr" rid="B133">133</xref>]).</p>
        <p>Meta-analytic evidence supports CM effectiveness across diverse settings, including criminal justice-involved populations (e.g., [<xref ref-type="bibr" rid="B134">134</xref>]; [<xref ref-type="bibr" rid="B129">129</xref>]), and subsequent implementation research has documented its adaptability to structured environments.</p>
        <p>4) The Matrix Model: an integrative treatment approach combining cognitive behavioral therapy, motivational interviewing, relapse prevention, psychoeducation, and structured monitoring—has demonstrated superior abstinence and retention outcomes among stimulant users in U.S. outpatient trials ([<xref ref-type="bibr" rid="B135">135</xref>]; [<xref ref-type="bibr" rid="B150">150</xref>]). Although large randomized controlled trials in U.S. prison populations are limited, correctional therapeutic community programs have incorporated Matrix-informed components, including manualized group sessions and relapse prevention strategies. Evaluations of prison-based programs for methamphetamine-using inmates report improvements in treatment engagement and post-release substance use outcomes, supporting the feasibility of structured, CBT-driven stimulant treatment models in custodial settings ([<xref ref-type="bibr" rid="B16">16</xref>]). Collectively, these findings suggest that the Matrix Model’s structured and accountability-focused framework is well aligned with correctional treatment environments and applicable to stimulant use disorders in U.S. prisons.</p>
      </sec>
      <sec id="sec4dot2">
        <title>4.2. Faith-Based and Twelve-Step Facilitation Approaches</title>
        <p>Twelve-Step Facilitation (TSF) therapy promotes participation in mutual-help fellowships such as Alcoholics Anonymous (AA) and Narcotics Anonymous (NA), emphasizing acceptance, accountability, and peer support ([<xref ref-type="bibr" rid="B81">81</xref>]; [<xref ref-type="bibr" rid="B136">136</xref>]; [<xref ref-type="bibr" rid="B71">71</xref>]). Faith-based organizations—including Teen Challenge, Celebrate Recovery, and The Lovelady Center—that include overtly religious activities play a significant role in reentry and rehabilitation for justice-involved individuals. While these programs support sustained recovery engagement and reduce stigma, some faith-based interventions historically have not endorsed medication-assisted treatment, underscoring the need for integration with evidence-based pharmacologic care ([<xref ref-type="bibr" rid="B110">110</xref>]; [<xref ref-type="bibr" rid="B36">36</xref>]; [<xref ref-type="bibr" rid="B34">34</xref>]). Chaplaincy-led recovery groups have demonstrated acceptability and effectiveness in maintaining engagement during incarceration and after release ([<xref ref-type="bibr" rid="B147">147</xref>]).</p>
      </sec>
    </sec>
    <sec id="sec5">
      <title>5. Pharmacologic Therapies for SUDs</title>
      <p>Pharmacologic treatment for substance use disorders (SUDs) in correctional settings is most effective when delivered within standardized, system-level frameworks that ensure access, continuity, and equity (<bold>Table 4</bold>). Medications for addiction treatment remain the cornerstone of evidence-based care. Strong evidence supports methadone, buprenorphine, and extended-release naltrexone for opioid use disorder; acamprosate, disulfiram, and naltrexone for alcohol use disorder; and varenicline or bupropion for tobacco dependence ([<xref ref-type="bibr" rid="B119">119</xref>]; [<xref ref-type="bibr" rid="B182">182</xref>]).</p>
      <p>National consensus guidelines emphasize universal access to medications for opioid use disorder (MOUD), trauma-informed care, telehealth-enabled behavioral health services, and comprehensive reentry supports to reduce overdose mortality and recidivism ([<xref ref-type="bibr" rid="B160">160</xref>]; [<xref ref-type="bibr" rid="B115">115</xref>]; [<xref ref-type="bibr" rid="B67">67</xref>]; [<xref ref-type="bibr" rid="B83">83</xref>]; [<xref ref-type="bibr" rid="B57">57</xref>]). As summarized in <bold>Table 4</bold>, these standards increasingly include system-level interventions such as pre-release Medicaid coverage alignment, integrated behavioral health services, and culturally responsive care models ([<xref ref-type="bibr" rid="B10">10</xref>]; [<xref ref-type="bibr" rid="B58">58</xref>]; [<xref ref-type="bibr" rid="B104">104</xref>]; [<xref ref-type="bibr" rid="B9">9</xref>]; [<xref ref-type="bibr" rid="B143">143</xref>]; [<xref ref-type="bibr" rid="B14">14</xref>]; [<xref ref-type="bibr" rid="B25">25</xref>]). Aligning correctional health systems with Medicaid and broader public health infrastructure is essential for closing treatment gaps during the high-risk post-release period, particularly during the first weeks following release when mortality risk is highest ([<xref ref-type="bibr" rid="B14">14</xref>]; [<xref ref-type="bibr" rid="B25">25</xref>]).</p>
      <p>Table 4. Recommended national standards for correctional SUD treatment.</p>
      <table-wrap id="tbl4">
        <label>Table 4</label>
        <table>
          <tbody>
            <tr>
              <td>
                <bold>Standard</bold>
              </td>
              <td>
                <bold>Rationale</bold>
              </td>
              <td>
                <bold>References</bold>
              </td>
            </tr>
            <tr>
              <td>Universal MOUD access for OUD</td>
              <td>Reduces overdose and recidivism</td>
              <td>
                [
                <xref ref-type="bibr" rid="B160">160</xref>
                ]; [
                <xref ref-type="bibr" rid="B115">115</xref>
                ]; [
                <xref ref-type="bibr" rid="B62">62</xref>
                ]; [
                <xref ref-type="bibr" rid="B50">50</xref>
                ]
              </td>
            </tr>
            <tr>
              <td>Telehealth infrastructure for behavioral health and MOUD</td>
              <td>Improves access and continuity</td>
              <td>
                [
                <xref ref-type="bibr" rid="B10">10</xref>
                ]; [
                <xref ref-type="bibr" rid="B58">58</xref>
                ]; [
                <xref ref-type="bibr" rid="B104">104</xref>
                ]; [
                <xref ref-type="bibr" rid="B9">9</xref>
                ]; [
                <xref ref-type="bibr" rid="B143">143</xref>
                ]
              </td>
            </tr>
            <tr>
              <td>Comprehensive reentry support (housing, employment, treatment)</td>
              <td>Addresses social determinants; improves retention</td>
              <td>
                [
                <xref ref-type="bibr" rid="B161">161</xref>
                ]
              </td>
            </tr>
            <tr>
              <td>Trauma-informed, culturally competent care</td>
              <td>Enhances engagement; equity focus</td>
              <td>
                [
                <xref ref-type="bibr" rid="B67">67</xref>
                ]; [
                <xref ref-type="bibr" rid="B83">83</xref>
                ]
              </td>
            </tr>
            <tr>
              <td>Inclusion of MUD in SUD standards</td>
              <td>Addresses rising prevalence; enables pilots</td>
              <td>
                [
                <xref ref-type="bibr" rid="B57">57</xref>
                ]
              </td>
            </tr>
            <tr>
              <td>Prerelease Medicaid coverage alignment (Section 1115)</td>
              <td>Bridges the 2 - 4 week mortality window by enabling MOUD initiation and rapid follow-up</td>
              <td>
                [
                <xref ref-type="bibr" rid="B14">14</xref>
                ]; [
                <xref ref-type="bibr" rid="B25">25</xref>
                ]
              </td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p>NASEM<bold>=</bold>National Academies of Sciences, Engineering, and Medicine; SAMHSA = Substance Abuse and Mental Health Services Administration; MOUD = Medications for Opioid Use Disorder; OUD = Opioid Use Disorder; SUD = Substance Use Disorder; MUD = Methamphetamine Use Disorder.</p>
      <sec id="sec5dot1">
        <title>5.1. Opioid Use Disorder (OUD)</title>
        <p>Medications for opioid use disorder (MOUD)—including methadone, buprenorphine, and extended-release naltrexone—have been shown to significantly reduce post-release overdose mortality and improve treatment continuity among incarcerated populations ([<xref ref-type="bibr" rid="B62">62</xref>]; [<xref ref-type="bibr" rid="B42">42</xref>]). National guidelines emphasize offering the full MOUD formulary with continuity across custody transitions ([<xref ref-type="bibr" rid="B115">115</xref>]; [<xref ref-type="bibr" rid="B161">161</xref>]).</p>
        <p>The fentanyl crisis has accelerated MOUD adoption. Methadone, buprenorphine, and extended-release naltrexone reduce relapse, all-cause mortality, and reincarceration ([<xref ref-type="bibr" rid="B171">171</xref>]; [<xref ref-type="bibr" rid="B173">173</xref>]). Individuals receiving MOUD during incarceration are significantly more likely to continue treatment after release and experience lower risks of fatal overdose ([<xref ref-type="bibr" rid="B50">50</xref>]; [<xref ref-type="bibr" rid="B23">23</xref>]; [<xref ref-type="bibr" rid="B42">42</xref>]; [<xref ref-type="bibr" rid="B49">49</xref>]). Long-acting buprenorphine formulations further improve retention and social outcomes ([<xref ref-type="bibr" rid="B90">90</xref>]; [<xref ref-type="bibr" rid="B105">105</xref>]; [<xref ref-type="bibr" rid="B131">131</xref>]).</p>
        <p>Despite demonstrated efficacy, access to medications for opioid use disorder (MOUD) remains uneven due to stigma, diversion concerns, regulatory constraints, and logistical barriers that perpetuate health inequities ([<xref ref-type="bibr" rid="B6">6</xref>]). Limited availability of certified OTPs, which are federally regulated facilities authorized to dispense medications such as methadone for opioid use disorder, further restricts treatment access in many correctional and community settings. In addition, genetic variation influences susceptibility and treatment response, with polymorphisms in <italic>CYP2D</italic>6 affecting opioid metabolism and variants in <italic>OPRM</italic>1 altering receptor sensitivity and treatment outcomes.</p>
      </sec>
      <sec id="sec5dot2">
        <title>5.2. Alcohol Use Disorder (AUD)</title>
        <p>Alcohol Use Disorder (AUD) is a chronic, relapsing brain disease characterized by impaired control over alcohol use despite adverse health, social, and legal consequences. Alcohol is implicated in more than half of incarcerations, and 47% of jail inmates meet criteria for alcohol dependence or abuse ([<xref ref-type="bibr" rid="B79">79</xref>]). FDA-approved medications include disulfiram, acamprosate, oral naltrexone, and extended-release injectable naltrexone. A recent systematic review and meta-analysis supports oral naltrexone (50 mg/day) and acamprosate as first-line pharmacotherapies when combined with behavioral treatment ([<xref ref-type="bibr" rid="B107">107</xref>]). Initiating pharmacotherapy during incarceration and ensuring continuity of care post-release reduces relapse and alcohol-related harms.</p>
      </sec>
      <sec id="sec5dot3">
        <title>5.3. Cannabis Use Disorder (CUD)</title>
        <p>Cannabis Use Disorder (CUD) involves a problematic pattern of cannabis use leading to clinically significant impairment or distress. Although no FDA-approved pharmacotherapies currently exist, behavioral interventions—including cognitive behavioral therapy, motivational enhancement therapy, and contingency management—have demonstrated effectiveness ([<xref ref-type="bibr" rid="B15">15</xref>]). CUD is prevalent among justice-involved individuals yet remains under-addressed in correctional systems. Structured behavioral treatment during incarceration may reduce post-release relapse and substance-related recidivism.</p>
      </sec>
      <sec id="sec5dot4">
        <title>5.4. Nicotine (Tobacco) Use Disorder (TUD)</title>
        <p>Nicotine is a highly addictive compound that binds to α4β2 nicotinic acetylcholine receptors in the brain, stimulating dopamine release and reinforcing dependence. Tobacco use prevalence in incarcerated populations is substantially higher than in the general population ([<xref ref-type="bibr" rid="B31">31</xref>]). Combining behavioral therapy with pharmacotherapy significantly increases cessation rates ([<xref ref-type="bibr" rid="B19">19</xref>]). Varenicline, a selective partial agonist at the α4β2 receptor, is recommended over bupropion due to superior quit outcomes ([<xref ref-type="bibr" rid="B139">139</xref>]). Comprehensive tobacco treatment programs within correctional facilities are desirable to reduce relapse and long-term health disparities.</p>
      </sec>
      <sec id="sec5dot5">
        <title>5.5. Methamphetamine Use Disorder (MUD)</title>
        <p>Methamphetamine overdose deaths continue to rise, and currently no medications are FDA-approved for methamphetamine use disorder. Pharmacologic agents such as modafinil, varenicline, and atomoxetine have shown modest cognitive benefits but limited impact on sustained abstinence ([<xref ref-type="bibr" rid="B114">114</xref>]; [<xref ref-type="bibr" rid="B185">185</xref>]). The ADAPT-2 trial demonstrated that extended-release naltrexone plus bupropion significantly improved abstinence compared with placebo ([<xref ref-type="bibr" rid="B167">167</xref>]).</p>
        <p>The co-use of opioids and methamphetamine—commonly referred to as “goofballing”—is increasingly documented in polysubstance-use research and is associated with elevated overdose risk and adverse outcomes, as stimulants and opioids have opposing pharmacologic effects that may mask intoxication or delay recognition of respiratory depression ([<xref ref-type="bibr" rid="B163">163</xref>]; [<xref ref-type="bibr" rid="B96">96</xref>]). CDC surveillance data further demonstrate rising stimulant involvement in opioid overdose deaths ([<xref ref-type="bibr" rid="B164">164</xref>]). Qualitative research among individuals who co-use opioids and methamphetamine also highlights how treatment systems often struggle to address polysubstance use and may be experienced as fragmented or poorly aligned with patient needs, underscoring the importance of integrated treatment approaches across community and correctional settings ([<xref ref-type="bibr" rid="B72">72</xref>]).</p>
        <p>Genetic studies indicate that stimulant and opioid use phenotypes share polygenic liability, suggesting overlapping biological risk pathways that may inform future precision interventions. Large genomic studies demonstrate that methamphetamine and broader stimulant use traits are highly polygenic and genetically correlated with other substance use disorders ([<xref ref-type="bibr" rid="B88">88</xref>]). Candidate genetic variants—including those affecting dopamine transporter and reward-related signaling pathways—have been explored as potential risk factors influencing susceptibility and treatment response ([<xref ref-type="bibr" rid="B84">84</xref>]).</p>
        <p>In justice-involved populations, the high prevalence of methamphetamine use, co-occurring psychiatric disorders, and stimulant-related impulsivity underscores the need for integrated behavioral interventions—including contingency management—initiated during incarceration and sustained through community reentry to reduce relapse and overdose risk.</p>
      </sec>
    </sec>
    <sec id="sec6">
      <title>6. Integrated Correctional Innovations and Continuity-of-Care Models</title>
      <sec id="sec6dot1">
        <title>6.1. Operational Implementation Barriers and Mitigation Strategies</title>
        <p>Operationalizing MOUD and evidence-based stimulant-treatment approaches in correctional settings commonly involves several practical challenges. These include diversion risk (mitigation: observed dosing, formulary controls, medication counts, and structured diversion-response workflows); induction logistics during withdrawal, particularly in jails with rapid turnover (mitigation: standardized withdrawal protocols, rapid clinical assessment pathways, and low-threshold buprenorphine initiation with clear continuation planning); staffing and licensing constraints (mitigation: telehealth prescribing, telepsychiatry, cross-training nursing staff, and formal partnerships with community opioid treatment programs for methadone continuity); and handoff failures at release (mitigation: “warm handoffs,” prerelease appointment scheduling, navigator models, and bridging medication strategies where permitted) ([<xref ref-type="bibr" rid="B8">8</xref>]; [<xref ref-type="bibr" rid="B111">111</xref>]; [<xref ref-type="bibr" rid="B140">140</xref>]; [<xref ref-type="bibr" rid="B115">115</xref>]; [<xref ref-type="bibr" rid="B175">175</xref>]). </p>
        <p>Evidence further suggests that engagement in behavioral health services improves retention on MOUD among justice-involved individuals, highlighting the importance of coordinated treatment and continuity-of-care during reentry ([<xref ref-type="bibr" rid="B186">186</xref>]). These operational strategies align with emerging statewide models demonstrating feasibility and improved post-release treatment engagement ([<xref ref-type="bibr" rid="B29">29</xref>]; [<xref ref-type="bibr" rid="B35">35</xref>]; [<xref ref-type="bibr" rid="B62">62</xref>]; [<xref ref-type="bibr" rid="B156">156</xref>]).</p>
      </sec>
      <sec id="sec6dot2">
        <title>6.2. State Implementation Models</title>
        <p>While access to evidence-based SUD treatment remains inconsistent across U.S. correctional systems, several states have implemented comprehensive models integrating medications for opioid use disorder (MOUD), behavioral health services, and structured reentry supports. Evidence supporting integrated treatment models is strong. Meta-analytic evidence indicates that combining pharmacotherapy with structured behavioral therapies such as cognitive-behavioral therapy improves substance use outcomes compared with pharmacotherapy or usual care alone, supporting integrated treatment approaches used in several state correctional health programs ([<xref ref-type="bibr" rid="B137">137</xref>]; [<xref ref-type="bibr" rid="B119">119</xref>]).</p>
        <p>Several states have implemented system-level correctional treatment models that illustrate different approaches to integrated care (<bold>Table 5</bold>). In California, the Integrated Substance Use Disorder Treatment (ISUDT) program implemented by California Correctional Health Care Services integrates screening, MOUD (methadone, buprenorphine, and naltrexone), cognitive-behavioral interventions, and prerelease care coordination with community providers to support continuity of treatment following release ([<xref ref-type="bibr" rid="B1">1</xref>]; [<xref ref-type="bibr" rid="B21">21</xref>]; [<xref ref-type="bibr" rid="B20">20</xref>]). The Rhode Island Department of Corrections operates one of the first statewide correctional programs providing universal access to all FDA-approved MOUD medications during incarceration, coupled with counseling services and Medicaid-supported linkage to community treatment providers after release ([<xref ref-type="bibr" rid="B29">29</xref>]; [<xref ref-type="bibr" rid="B11">11</xref>]; [<xref ref-type="bibr" rid="B62">62</xref>]). In New York, the New York State Department of Corrections and Community Supervision implements the Comprehensive Alcohol and Substance Abuse Treatment (CASAT) model, combining therapeutic community programming with MOUD access and phased community reintegration designed to support treatment engagement during reentry ([<xref ref-type="bibr" rid="B95">95</xref>]; [<xref ref-type="bibr" rid="B43">43</xref>]; [<xref ref-type="bibr" rid="B122">122</xref>]; [<xref ref-type="bibr" rid="B123">123</xref>]; [<xref ref-type="bibr" rid="B121">121</xref>]; [<xref ref-type="bibr" rid="B190">190</xref>]). Similarly, the Minnesota Department of Corrections provides prison-based chemical dependency treatment programs using cognitive-behavioral interventions and structured rehabilitation services, including transitional work-release and community supervision components that support continuity of care after incarceration ([<xref ref-type="bibr" rid="B37">37</xref>]; [<xref ref-type="bibr" rid="B109">109</xref>]; [<xref ref-type="bibr" rid="B127">127</xref>]).</p>
        <p>Table 5. Comparative overview of SUD treatment programs in selected state correctional systems.</p>
        <table-wrap id="tbl5">
          <label>Table 5</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>State</bold>
                  <bold>/System/</bold>
                </td>
                <td>
                  <bold>Treatment Model</bold>
                </td>
                <td>
                  <bold>Medications</bold>
                  <bold>Available</bold>
                </td>
                <td>
                  <bold>Psychotherapy Approaches</bold>
                </td>
                <td>
                  <bold>Reentry &amp; Continuity Strategies</bold>
                </td>
                <td>
                  <bold>Reference</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>California (CCHCS)</bold>
                </td>
                <td>
                  <bold>Integrated Substance Use</bold>
                  <bold>Disorder Treatment (ISUDT)</bold>
                  program integrating MOUD with behavioral treatment and systemwide screening, assessment, and care coordination. CalAIM supports prerelease Medicaid linkage and community transition
                </td>
                <td>Methadone, Buprenorphine, Naltrexone; AUD meds per clinical guidelines</td>
                <td>CBT, MI, CM-based interventions; structured SUD treatment groups</td>
                <td>Prerelease planning; linkage to community MOUD; benefits reactivation under CalAIM justice-involved initiatives</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B1">1</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B21">21</xref>
                  ] Services, 2023; [
                  <xref ref-type="bibr" rid="B20">20</xref>
                  ] Correctional Health Care Services, 2024
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Minnesota DOC</bold>
                </td>
                <td>
                  <bold>Prison-based CD Treatment</bold>
                  <bold>Programs</bold>
                  and therapeutic community-style substance use treatment integrated with behavioral programming and rehabilitation initiatives; Integrated behavioral health with MAT
                </td>
                <td>Buprenorphine, Methadone, XRNaltrexone; AUD meds</td>
                <td>
                  CBT for criminogenic thinking;
                  <bold>T4C;</bold>
                  trauma- informed care
                </td>
                <td>Work-release and transitional programming in the final months of incarceration; community supervision and treatment referrals after release</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B127">127</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B37">37</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B109">109</xref>
                  ] Department of Corrections (n.d.)
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Rhode</bold>
                  <bold>Island DOC</bold>
                </td>
                <td>First statewide correctional system with universal MOUD access; universal screening for OUD</td>
                <td>Methadone, Buprenorphine, XR Naltrexone</td>
                <td>Group CBT, behavioral therapy integrated with MOUD; relapse prevention</td>
                <td>Universal continuation of MOUD at intake; intensive reentry planning; linkage to community providers</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B29">29</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B62">62</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B11">11</xref>
                  ]
                </td>
              </tr>
              <tr>
                <td>
                  <bold>New York (DOCCS)</bold>
                </td>
                <td>
                  Statutory MOUD access with mandated conseling; Comprehensive SUD treatment including
                  <bold>ASAT</bold>
                  programs and
                  <bold>CASAT</bold>
                  therapeutic community model,
                </td>
                <td>Methadone, Buprenorphine, Naltrexone (MOUD required in correctional facilities)</td>
                <td>Individual and group CBT, peer recovery groups</td>
                <td>Discharge planning; CASAT community reintegration phases, work-release treatment, and reentry coordination with community providers and parole supervision</td>
                <td>
                  [
                  <xref ref-type="bibr" rid="B95">95</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B43">43</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B122">122</xref>
                  ] Community Supervision, n.d.; [
                  <xref ref-type="bibr" rid="B123">123</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B121">121</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B190">190</xref>
                  ]
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>ASAT = Alcohol and Substance Abuse Treatment; CASAT = Comprehensive Alcohol and Substance Abuse Treatment; California (CCHCS) = California Correctional Health Care Services; CD = Chemical Dependency; SUD = Substance Use Disorder; MOUD = Medication for Opioid Use Disorder; MAT = Medication Assisted Treatments; New York (DOCVCS) = New York State Department of Corrections and Community Supervision; Rhode Island DOC = Rhode Island Department of Corrections; Minnesota DOC = Minnesota Department of Corrections; T4C = Thinking for a Change; CBT = Cognitive Behavioral Therapy; XR = Extended Release.</p>
        <p><bold>Table 5</bold> compares these approaches, illustrating how policy mandates, program design, and Medicaid alignment are being leveraged to improve treatment continuity during incarceration and community reentry. Despite these advances, evidence-based treatment remains unevenly implemented across U.S. correctional systems, with access often constrained by structural inequities—including disparities by conviction type, race, and ethnicity—that contribute to differences in treatment availability and outcomes ([<xref ref-type="bibr" rid="B26">26</xref>]).</p>
      </sec>
      <sec id="sec6dot3">
        <title>6.3. Technology-Enabled Care and Reentry Coordination</title>
        <p>Emerging innovations increasingly emphasize continuity of care, technology-enabled treatment delivery, and alignment between correctional and community health systems. Pharmacogenomic profiling—already used in psychiatry and pain management—offers a potential pathway to guide treatment options, including individualized medication selection that may enhance safety, adherence, and outcomes ([<xref ref-type="bibr" rid="B141">141</xref>]; [<xref ref-type="bibr" rid="B30">30</xref>]; [<xref ref-type="bibr" rid="B56">56</xref>]).</p>
        <p>Telepsychiatry, secure tablet-based programming, and digital recovery platforms can help address workforce shortages while expanding access to behavioral health services during incarceration and community reentry ([<xref ref-type="bibr" rid="B33">33</xref>]; [<xref ref-type="bibr" rid="B156">156</xref>]; [<xref ref-type="bibr" rid="B144">144</xref>]; [<xref ref-type="bibr" rid="B58">58</xref>]). Digital tools supporting real-time monitoring of cravings, triggers, and mood have also shown feasibility and acceptability among justice-involved populations ([<xref ref-type="bibr" rid="B143">143</xref>]).</p>
        <p>Another major innovation involves activating Medicaid coverage prior to release and incorporating care navigators to coordinate appointments, benefits, and MOUD continuity. Section 1115 Medicaid Reentry Demonstrations allow coverage up to 90 days pre-release and significantly improve engagement during the high-risk transition period ([<xref ref-type="bibr" rid="B14">14</xref>]; [<xref ref-type="bibr" rid="B28">28</xref>]; [<xref ref-type="bibr" rid="B94">94</xref>]). State initiatives such as California’s CalAIM Justice-Involved Demonstration exemplify how aligning correctional and community systems can promote uninterrupted medical and behavioral health care ([<xref ref-type="bibr" rid="B1">1</xref>]; [<xref ref-type="bibr" rid="B21">21</xref>]).</p>
      </sec>
    </sec>
    <sec id="sec7">
      <title>7. Discussion</title>
      <p>Synthesizing evidence of effectiveness across clinical, behavioral, and policy domains reveals a consistent pattern: integrated, evidence-based interventions sustained through reentry yield the most durable outcomes for justice-involved individuals with SUDs. Across epidemiologic, neurobiological, pharmacologic, and psychosocial studies, correctional systems that combine MOUD, structured psychotherapies, and continuity-of-care planning demonstrate significant reductions in relapse, overdose mortality, and reincarceration. These findings align with national clinical standards articulated by the American Society of Addiction Medicine (ASAM), which identify MOUD as the evidence-based standard of care across treatment settings, including correctional environments ([<xref ref-type="bibr" rid="B78">78</xref>]). Correction-specific research reinforces this position; statewide implementation of comprehensive medications for addiction treatment in Rhode Island prisons was associated with a marked reduction in post-incarceration overdose deaths ([<xref ref-type="bibr" rid="B62">62</xref>]), while initiation of MOUD prior to release—including extended-release naltrexone and buprenorphine—has been shown to improve post-release engagement and reduce recidivism and mortality ([<xref ref-type="bibr" rid="B29">29</xref>]; [<xref ref-type="bibr" rid="B49">49</xref>]; [<xref ref-type="bibr" rid="B42">42</xref>]). Collectively, these data demonstrate that system-level MOUD implementation in correctional settings is both feasible and lifesaving, consistent with established standards of addiction medicine.</p>
      <p>Beyond psychosocial determinants, emerging evidence underscores biological convergence across SUDs. Genomic studies reveal informative genetic loci across neurotransmitter and stress-regulation pathways influencing vulnerability and treatment response. The largest multivariate genome-wide association study meta-analysis to date—encompassing more than one million participants—identified PDE4B, a dopamine-regulating gene, as a shared susceptibility locus across multiple SUD phenotypes ([<xref ref-type="bibr" rid="B66">66</xref>]). Additional mechanistic insights, including activity-dependent myelin plasticity in ventral tegmental area reward circuits ([<xref ref-type="bibr" rid="B184">184</xref>]), epigenetic modulation through DNA methylation and histone modification ([<xref ref-type="bibr" rid="B158">158</xref>]; [<xref ref-type="bibr" rid="B125">125</xref>]), and microbiome-brain interactions ([<xref ref-type="bibr" rid="B51">51</xref>]; [<xref ref-type="bibr" rid="B142">142</xref>]), highlight convergent neurobiological pathways that might inform future precision treatment targets.</p>
      <p>Collectively, these findings support a shift from fragmented, crisis-oriented correctional care toward coordinated, biologically-informed, and recovery-oriented systems. Pharmacologic treatment—particularly MOUD—is among the most effective interventions for reducing relapse and overdose mortality, especially when integrated with trauma-informed psychotherapy, peer and faith-based supports, and structured reentry planning ([<xref ref-type="bibr" rid="B115">115</xref>]; [<xref ref-type="bibr" rid="B173">173</xref>]).</p>
      <sec id="sec7dot1">
        <title>7.1. Integrated Care and Delivery Modalities</title>
        <p>National bodies and consensus guidelines increasingly endorse integrated models in which MAT is combined with cognitive-behavioral therapy, motivational interviewing, or contingency management ([<xref ref-type="bibr" rid="B115">115</xref>]). Statewide implementation of MOUD has been associated with marked reductions in post-release overdose mortality ([<xref ref-type="bibr" rid="B62">62</xref>]), while telepsychiatry, secure tablet programming, and peer recovery services expand engagement in rural and resource-limited facilities ([<xref ref-type="bibr" rid="B38">38</xref>], [<xref ref-type="bibr" rid="B144">144</xref>]).</p>
        <p>CBT programs that address criminogenic thinking further reduce recidivism when paired with aftercare and community linkage ([<xref ref-type="bibr" rid="B110">110</xref>]). Federal initiatives such as the NIH HEAL and Justice Community Opioid Innovation Network (JCOIN) are actively testing digitally delivered CBT, MI, and peer navigation models that begin during incarceration and extend into community-based care, reflecting growing recognition of the need for longitudinal treatment continuity.</p>
        <p>Several state correctional systems illustrate converging best practices. California’s Correctional Health Care Services model, aligned with the CalAIM initiative, provides comprehensive MOUD integrated with CBT, MI, CM, and trauma-informed group interventions, alongside prerelease benefits activation and strong community linkage ([<xref ref-type="bibr" rid="B1">1</xref>]). Rhode Island’s statewide MOUD program—maintaining treatment from intake through release—demonstrated substantial reductions in post-release overdose deaths ([<xref ref-type="bibr" rid="B62">62</xref>], [<xref ref-type="bibr" rid="B29">29</xref>]). Comparable models in New York ([<xref ref-type="bibr" rid="B43">43</xref>]; [<xref ref-type="bibr" rid="B95">95</xref>]; [<xref ref-type="bibr" rid="B121">121</xref>]), and Minnesota ([<xref ref-type="bibr" rid="B127">127</xref>]; [<xref ref-type="bibr" rid="B37">37</xref>]; [<xref ref-type="bibr" rid="B109">109</xref>]) similarly emphasize universal medication access, telehealth infrastructure, and coordinated reentry supports.</p>
      </sec>
      <sec id="sec7dot2">
        <title>7.2. Public Health and Policy Implications</title>
        <p>Translation of clinical advances into population-level impact depends on policies that bridge custody and community while addressing persistent inequities. Access to MOUD and behavioral health services remains highly variable across states, driven by stigma, insurance disruption, workforce shortages, and fragmented data systems ([<xref ref-type="bibr" rid="B38">38</xref>]). Recent DOJ and HHS guidance recognizes MOUD as a clinical standard of care and a protected accommodation under the Americans with Disabilities Act, reinforcing legal and ethical obligations to provide evidence-based treatment in correctional settings ([<xref ref-type="bibr" rid="B179">179</xref>]).</p>
        <p>Medicaid Section 1115 Reentry Demonstrations represent a transformative policy lever, allowing states to provide medical and behavioral health services up to 90 days prior to release. Early evaluations indicate that prerelease enrollment, care navigation, and immediate post-release follow-up substantially improve treatment engagement and reduce overdose mortality during the high-risk reentry period ([<xref ref-type="bibr" rid="B14">14</xref>]; [<xref ref-type="bibr" rid="B28">28</xref>]; [<xref ref-type="bibr" rid="B94">94</xref>]). Sustained success will require continued cross-agency collaboration, standardized outcome metrics, and alignment with National Institute of Corrections behavioral health and reentry frameworks ([<xref ref-type="bibr" rid="B116">116</xref>]).</p>
        <p>Evidence-based overdose preventions at release from prison or jail can be deployed at or immediately prior to release include: </p>
        <p>1) naloxone distribution with brief training for the individual and, when feasible, family/support persons (as per [<xref ref-type="bibr" rid="B24">24</xref>]; [<xref ref-type="bibr" rid="B160">160</xref>]); </p>
        <p>2) MOUD continuity measures such as prerelease initiation and/or bridging strategies (e.g., scheduled first-dose appointment within 24 - 72 hours; Extended Release (XR) formulations where appropriate) to mitigate the high-risk transition period ([<xref ref-type="bibr" rid="B62">62</xref>]; [<xref ref-type="bibr" rid="B49">49</xref>]; [<xref ref-type="bibr" rid="B42">42</xref>]); </p>
        <p>3) scheduled rapid follow-up (e.g., appointment made before release, transportation plan, and documented warm handoff) supported by care navigation models ([<xref ref-type="bibr" rid="B14">14</xref>]; [<xref ref-type="bibr" rid="B28">28</xref>]); and </p>
        <p>4) benefits activation (Medicaid reentry demonstration processes and prerelease enrollment) to reduce coverage gaps ([<xref ref-type="bibr" rid="B25">25</xref>]; [<xref ref-type="bibr" rid="B94">94</xref>]).</p>
        <p>This (recommended) multi-focal approach should also provide economic benefit to the post-incarcerated individuals as well as to the communities in which they reside, as a result of improvements in quality of life and reductions in SUD relapse, criminal activities, and recidivism. </p>
      </sec>
      <sec id="sec7dot3">
        <title>7.3. Innovations and Future Directions</title>
        <p>Digital therapeutics, telepsychiatry, and data-driven analytics offer scalable solutions to longstanding access challenges in correctional health. Mobile applications, ecological momentary assessment tools, and app-based CBT platforms show promise for real-time monitoring of cravings, triggers, and mood, supporting relapse prevention during both incarceration and reentry ([<xref ref-type="bibr" rid="B104">104</xref>]; [<xref ref-type="bibr" rid="B9">9</xref>]; [<xref ref-type="bibr" rid="B143">143</xref>]).</p>
        <p>Pharmacogenomic-guided prescribing ([<xref ref-type="bibr" rid="B10">10</xref>]; [<xref ref-type="bibr" rid="B55">55</xref>]) and biomarker-based risk stratification could further personalize treatment, particularly for individuals with co-occurring psychiatric or medical conditions. Novel pharmacotherapies, including combined extended-release naltrexone and bupropion for methamphetamine use disorder, represent important early advances in a domain that has been long neglected in correctional research ([<xref ref-type="bibr" rid="B167">167</xref>]). Rising opioid-methamphetamine co-use ([<xref ref-type="bibr" rid="B68">68</xref>]) underscores the urgency of prioritizing polysubstance-use research and pragmatic implementation trials within justice settings.</p>
        <p>Several pharmacogenomic applications have demonstrated clinical utility and are supported by published prescribing guidance. These include genotype-informed considerations for methadone and other opioid therapies involving <italic>CYP</italic>2<italic>B</italic>6 and <italic>CYP</italic>2<italic>D</italic>6 metabolic pathways, consistent with recommendations from the Clinical Pharmacogenetics Implementation Consortium (CPIC) ([<xref ref-type="bibr" rid="B30">30</xref>]; [<xref ref-type="bibr" rid="B141">141</xref>]). As summarized in <bold>Table 3</bold>, pharmacogenomic tools represent one of several emerging strategies aimed at improving treatment personalization in correctional settings. By contrast, broader precision-medicine approaches—such as polygenic risk scoring for relapse prediction, microbiome-informed treatment strategies, or gene-based prediction of stimulant-treatment response—remain largely investigational. Consequently, these approaches should currently be regarded as emerging research avenues rather than established standards of care in correctional health systems.</p>
        <p>Pre-release Medicaid activation represents a lifesaving reform, and the Federal initiatives such as Medicaid Section 1115 Reentry Demonstrations and state models like CalAIM exemplify the evolving alignment between correctional and public health systems—an essential step toward reducing overdose deaths, improving reentry outcomes, and advancing equity in correctional health care. Emerging evidence also highlights the promise of digital health tools—such as mobile ecological momentary assessments and app-based cognitive-behavioral platforms—as feasible and acceptable methods for real-time monitoring of cravings, triggers, and mood, thereby enhancing engagement and relapse prevention among justice-involved individuals ([<xref ref-type="bibr" rid="B104">104</xref>]; [<xref ref-type="bibr" rid="B9">9</xref>]; [<xref ref-type="bibr" rid="B143">143</xref>]). </p>
      </sec>
      <sec id="sec7dot4">
        <title>7.4. Policy Call-to-Action</title>
        <p>The evidence synthesized in this review underscores the need for coordinated national strategies that integrate pharmacologic, behavioral, digital, and reentry supports within correctional health systems. Policy initiatives such as Medicaid Section 1115 Reentry Demonstrations represent an important step toward institutionalizing continuity of care across custody and community settings. Consistent evidence indicates that medications for opioid use disorder, when initiated during incarceration and sustained through reentry, significantly improve treatment retention and reduce overdose mortality and reincarceration, reinforcing the need for sustained policy investment and infrastructure to expand evidence-based treatment in correctional systems. Research on restrictive housing underscores the importance of trauma-informed, mental health-protective policies ([<xref ref-type="bibr" rid="B65">65</xref>]). Addressing high rates of substance use disorder among probationers and parolees will require coordinated diversion programs, community-linked treatment, and emerging pharmacogenomic-guided interventions ([<xref ref-type="bibr" rid="B10">10</xref>]; [<xref ref-type="bibr" rid="B56">56</xref>]; [<xref ref-type="bibr" rid="B65">65</xref>]; [<xref ref-type="bibr" rid="B46">46</xref>]; [<xref ref-type="bibr" rid="B69">69</xref>]).</p>
        <p>The evidence underscores the urgency of a coordinated national framework that unites pharmacologic, behavioral, digital, and reentry supports under an equity-driven strategy. Rising opioid-methamphetamine co-use (“goofballing”) and the absence of approved pharmacotherapies highlight the need to prioritize polysubstance research and pragmatic implementation pilots.</p>
        <p>Addressing the growing burden of methamphetamine use disorder, polysubstance use, and trauma-related comorbidity will require coordinated diversion programs, community-linked treatment models, and emerging precision-medicine-guided interventions. Embedding these innovations within reentry frameworks such as CalAIM advances the mission of the National Institute of Corrections to promote equity, improve population health, and strengthen public safety.</p>
      </sec>
      <sec id="sec7dot5">
        <title>7.5. Strengths and Limitations</title>
        <p>This narrative review is novel and has several important strengths. First, it integrates evidence across neurobiology, genetics, psychotherapeutics, pharmacology, digital health, and policy, offering a comprehensive and multidisciplinary synthesis that reflects the real-world complexity of SUDs in correctional settings. By spanning the full continuum from incarceration through reentry, the review highlights how biologic vulnerability, trauma exposure, and structural determinants interact to shape outcomes, moving beyond siloed clinical or policy perspectives. The inclusion of emerging domains—such as pharmacogenomics, digital therapeutics, and Medicaid reentry demonstrations—positions this work at the forefront of translational and implementation-oriented correctional health research. Importantly, the review centers equity, emphasizing populations disproportionately affected by incarceration, stigma, and fragmented care systems, and aligns clinical evidence with evolving legal and policy frameworks.</p>
        <p>Several limitations warrant consideration. As a narrative review, the study does not employ formal systematic review or meta-analytic methods, which limits the ability to quantify effect sizes or assess publication bias. The correctional health literature remains heterogeneous, with wide variability in facility type, population demographics, treatment availability, and outcome definitions, constraining direct comparisons across studies. Prospective randomized controlled trials in jail and prison settings are relatively scarce due to ethical, logistical, and regulatory barriers, resulting in reliance on retrospective observational studies and quasi-experimental designs for many interventions. Finally, while emerging precision-medicine and digital approaches show promise, empirical data on long-term effectiveness, cost-effectiveness, and scalability in correctional environments remain limited, underscoring the need for pragmatic, equity-focused implementation research.</p>
      </sec>
    </sec>
    <sec id="sec8">
      <title>8. Conclusion</title>
      <p>Substance use disorders in correctional settings are chronic, relapsing conditions rooted in biological vulnerability, trauma exposure, and systemic inequity. Correctional health systems must evolve from crisis-driven responses toward a coordinated continuum of care integrating universal access to medications for opioid use disorder, evidence-based psychotherapies, peer- and faith-based supports, and robust reentry planning.</p>
      <p>Bridging science, compassion, and policy can reframe incarceration as a foundation for recovery and reintegration. National initiatives such as Medicaid Section 1115 Reentry Demonstrations and NIC-guided behavioral health frameworks embody a shift toward continuous, equitable, and evidence-driven care. Looking ahead, transforming correctional SUDs treatment will require integrating pharmacologic, psychosocial, digital, and precision-medicine tools into seamless systems that bridge custody and community. By doing so, correctional institutions can be reframed from revolving doors of relapse into promoters for recovery, reintegration, and health equity.</p>
    </sec>
    <sec id="sec9">
      <title>Acknowledgements</title>
      <p>The views expressed in this publication are those of the author(s) and do not necessarily reflect those of the Arkansas Department of Corrections.</p>
    </sec>
    <sec id="sec10">
      <title>Funding</title>
      <p>This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.</p>
    </sec>
  </body>
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