During the last few decades, criminologists have identified several adult roles and statuses, including employment, positive family relations, and economic stability, as critical for promoting successful reintegration and desistance. Very few researchers, however, have investigated the conditions that serve to bring about these transitions and successes crucial for behavior change. As a complement to a burgeoning amount of literature on the impact of incarceration on health, we emphasize the reverse: Health has important implications for reentry outcomes and reincarceration. Informed by multiple disciplines, we advance a health‐based model of desistance in which both mental and physical dimensions of health affect life chances in the employment and family realms and ultimately recidivism. Investigating this issue with longitudinal data from the Serious and Violent Offender Reentry Initiative (SVORI) and structural equation models, we find overall support for the health‐based model of desistance. Our results indicate several significant pathways through which both manifestations of health influence employment, family conflict, financial problems, and crime and reincarceration. The findings highlight the need for implementation of correctional and transitional policies to improve health among the incarcerated and avert health‐related reentry failures.

Much recent, national attention has centered on financial sanctions and associated debt burdens related to criminal justice. Scholars and practitioners alike have argued that financial debt among the incarcerated, in particular, exacerbates a transition home already defined by difficulties. This article takes a step back and assesses who is at risk of these adverse consequences in reentry by examining the extent of debt burdens that resulted from financial sanctions, its sources, and the individual-level factors that are associated with owing criminal justice debt. Relying on the Returning Home data (N = 740), results from descriptive analyses, logistic regression, and negative binomial models show that a large proportion of respondents owed debts and that debt was strongly linked with being mandated to community supervision. In addition, debt amount was predicted by employment, income, and race. Policy implications in the realm of financial sanctioning by courts and correctional agencies are discussed.

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Weak coordination between community correctional agencies and community-based treatment providers is a major barrier to diffusion of medication-assisted treatment (MAT)—the inclusion of medications (e.g., methadone and buprenorphine) in combination with traditional counseling and behavioral therapies to treat substance use disorders. In a multisite cluster randomized trial, experimental sites (j = 10) received a 3-h MAT training plus a 12-month linkage intervention; control sites (j = 10) received the 3-h training alone. Hierarchical linear models showed that the intervention resulted in significant improvements in perceptions of interagency coordination among treatment providers, but not probation/parole agents. Implications for policy and practice are discussed.

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Although researchers, policymakers, and practitioners alike have long known about the established link between substance abuse and criminal behavior, criminal justice agencies in the United States are still tasked with managing an influx of individuals who display symptoms of abuse and dependence. By the late 1980s, the drug court model emerged as an innovative response to this problem, and this reform has since proliferated to such an extent that it is the most common type of problem-solving court in America. Still, there remains much variation in how drug courts are implemented across jurisdictions, which can have strong implications for the outcomes among the courts' participants. In this review, we summarize the key research on drug court implementation, followed by an assessment of whether they can be said to "work" in terms of reducing criminal behavior and relapse among adults. We conclude that the model remains an evidence-based practice and suggest some directions for future work, including increased emphasis on theory and causal dynamics and key measurement issues.