Abstract
Aims
The number of drug dependent individuals incarcerated in the U.S. is exceptionally high, and reportedly 60 percent of incarcerated Black Americans have a substance abuse disorder. The purpose of this study was to identify factors associated with return to illicit drug use post-incarceration.
Methods
A cross-sectional study was conducted with 121 formerly incarcerated Black Americans in New York City to examine predictors of return to illicit drug use. Kaplan-Meier curves were generated on the outcome of time-to-drug use for various predictors and compared using the log-rank test. Cox proportional hazards models were used to identify significant predictors of return to illicit drug use post-incarceration.
Findings
Approximately 83 percent (n=100) of the participants reported a history of illicit drug use, not including participants who have only used marijuana. Out of 121 participants, 36 (29.8%) had used drugs within one day after release. By two weeks after release, half had used drugs. Gender and history of heroin use were significant predictors of time-to-drug use according to the log rank test.
Conclusions
The potential for immediate return to drug use among our sample suggests that discharge support programs that focus specifically on healthy decision-making among women and heroin users are especially critical.
Keywords: drug use, Black Americans, reentry
Introduction
Partly due to the war on drugs in the United States, Black Americans are disproportionately represented among the 1.5 million individuals currently held in a federal or state prison (Carson, 2015). Although Black Americans reportedly use illicit drugs less than or at the same rate as Whites (Millett, Flores, Peterson, & Bakeman, 2007; Millett et al., 2012; The National Center on Addiction and Substance Abuse at Columbia University, 2010; White et al., 2014), they are much more likely to be detained and incarcerated for committing drug-related offenses (Beckett, Nyrop, & Pfingst, 2006). Black men are approximately six times as likely to be incarcerated than White men in the U.S. (The Sentencing Project, 2015).
The number of drug dependent individuals incarcerated in the U.S. is exceptionally high, and 60 percent of incarcerated Black Americans have a substance abuse disorder (The National Center on Addiction and Substance Abuse at Columbia University, 2010). Research has shown that up to two-thirds of incarcerated individuals have problems with substance use, and approximately half are under the influence of a substance during the commission of the crime for which they are incarcerated (Karberg & James, 2005). A recent comprehensive report on substance use among the prison population published by the National Center on Addiction and Substance Abuse suggests that substance-involved prisoners comprise 85% of the prison population in the U.S.; this report demonstrated that few drug-dependent inmates (11%) use substance abuse treatment. Similar results have been confirmed elsewhere in the literature. For instance, a recent study estimates that approximately 80 to 85 percent of the prison population in need of substance use treatment does not receive it (Chandler, Fletcher, & Volkow, 2009). Previous research has also indicated that although substance use treatment programs are provided by approximately 74 percent of the prisons in the U.S., most do not appear to offer the intensive substance abuse treatment appropriate for the needs of this population (Young, Farrell, Henderson, & Taxman, 2009). This scenario results in the vast majority of eligible prisoners not being able to access adequate drug treatment services.
In addition to the reported inaccessibility of drug treatment, research suggests that drug use continues during periods of incarceration (Rowell, Wu, Hart, Haile, & El-Bassel, 2012), and may increase post-release from incarceration (Binswanger, Blatchford, Lindsay, & Stern, 2011; Choopanya et al., 2002; Wood et al., 2005), as ex-offenders attempt to compensate for restrictions placed on their behavior throughout their incarceration (Braithwaite, 2003). The vast majority of incarcerated individuals will return to their home communities (Prendergast, 2009), where the risk for drug overdose during the immediate post-release period is exceptionally high (Leach & Oliver, 2011; Merrall et al., 2010). For instance, in their examination of the risk of death among 30,237 former Washington State prisoners, Binswanger et al. (2007) reported that the risk of death among former inmates was 12.7 times that among other state residents during the same time period; the leading cause of death among formerly incarcerated individuals was drug overdose.
Reportedly, drug use post-incarceration is also associated with additional negative outcomes including risky sexual behaviors (MacGowan et al., 2003), less likelihood of retention in medical care (Fox et al., 2014) and re-incarceration (Prendergast, 2009). Hence, individuals who return to drug use within a short timeframe post-incarceration are at high risk for experiencing many negative outcomes during a very challenging period in their lives. Temptations and opportunities to return to their previous risky lifestyle may resurface, creating an environment where they may be particularly vulnerable to substance abuse (Seaman, Brettle, & Gore, 1998; Vlahov & Putnam, 2006). To better understand the extent to which formerly incarcerated Black Americans are using illicit drugs post-incarceration, the purpose of this study was to identify factors associated with return to illicit drug use among 121 Black Americans who were recently released from prison in the New York City metropolitan area. Using variables previously associated with return to drug use post-incarceration, we examined correlates of illicit drug use post-incarceration.
Methods
A cross-sectional study was conducted between January 2014 and August 2015. Inclusion criteria for this study were as follows: 1) at least 18 years of age; 2) self-identify as Black American; 3) released from prison within the past 12 months; and 4) convicted of a drug-related offense. Participants were screened for eligibility; approximately 30 percent of those screened were ineligible for participation. Individuals who met the criteria were interviewed privately by a trained research assistant. On average, interviews lasted approximately 49 minutes. During the informed consent process the research assistants emphasized the voluntary and confidential nature of the study; participants were also assured that any information shared with the research team would not be disclosed to any criminal justice agencies or staff members, including parole officers. A certificate of confidentiality was received to further protect participants’ rights. All study-related procedures were approved by the Columbia University Medical Center institutional review board.
Participants
Participants were recruited from community-based agencies that provide services to ex-offenders in the New York City metropolitan area, including substance abuse treatment centers, transitional housing organizations, and harm reduction agencies and programs. Recruitment flyers and advertisements with basic information about the study were posted at agencies throughout the metropolitan area and given to agency staff to distribute. The flyers contained a phone number for individuals to call if they were interested in participating in the study. Research staff also gave presentations at orientation meetings and educational seminars for individuals recently released from incarceration. Additionally, research participants were encouraged to recruit other individuals into the study.
Study Procedures
Individuals who expressed interest were interviewed in a private room by trained research assistants to determine whether they met the study’s inclusion criteria. Participants were paid $30 in compensation. During the informed consent process, participants were reminded that their participation was anonymous, that no information would be shared with any criminal justice agencies or representatives, and that a Certificate of Confidentiality was issued to further protect their rights.
Measures
Demographics
Participants were asked to provide demographic information including their age, highest level of education complete, and duration of incarceration. Education was dichotomized to two categories (less than high school and high school or more). Incarceration duration was recorded in number of days but was also divided into two categories (incarceration for less or greater than five years). The type of drug offense was divided into two categories (possession only and distribution or intent to sell).
Drug abuse treatment
Participants were additionally asked whether they were ever treated for drug abuse and if they have used needles to inject drugs since release.
History of illicit drug use
Participants were asked a series of questions regarding their illicit drug use. Information was collected about the use of drugs including powder cocaine, rock/crack cocaine, and heroin. For each drug, they were asked to disclose whether they ever used it. If a participant responds “yes”, they are then asked both whether they used the drug before the most recent incarceration and since release from prison.
Sexual behavior post-incarceration
Participants were asked whether they engaged in unprotected sexual behavior post-incarceration, the types of sexual behavior (i.e. oral, vaginal, anal), and the number and gender of sexual partners.
Outcome
The outcome was determined by asking the participant, “How soon after release from most recent incarceration did you use drugs?” and the response was recorded in hours.
Data analyses
Data entry was conducted using SPSS 23.0, and SAS 9.3 was used to conduct all statistical analyses. Descriptive statistics were used to characterize the study sample. Kaplan-Meier curves were generated on the outcome of time-to-drug use for various predictors and compared using the log-rank test. A p-value of less than 0.05 was considered significant. Univariable cox proportional hazards models were used to identify significant predictors of return to drug use. The proportional hazards assumption was tested for each predictor. All predictors of return to drug use found to be significant at the p<0.20 level in the bivariate models were entered into a multivariable cox proportional hazards model. Due to small sample size, a p-value of less than 0.10 was considered significant for the multivariable model.
Results
There were 121 participants in this study. As Table 1 illustrates, the vast majority of the participants were male (89.3%), heterosexual (79.3%), and had never been married (72.7%). The mean age of the participant’s was 45.1 years (SD= 9.4, range = 23–66). On average, participants had been released from prison 5.7 months ago after serving a mean of 4.1 years in prison (SD=4.8).
Table 1.
Frequency | Percent | |
---|---|---|
Total | 121 | 100.0 |
Male gender | 108 | 89.3 |
Non-hispanic | 109 | 90.1 |
Age | ||
Less than 30 | 10 | 8.3 |
30 to 49 | 66 | 54.5 |
Over 50 | 45 | 37.2 |
High school education or more | 76 | 62.8 |
Never married | 88 | 72.7 |
Sexual orientation | ||
Heterosexual | 96 | 79.3 |
Bisexual | 17 | 14.1 |
Other | 8 | 6.6 |
Incarceration duration under 5 years | 98 | 81.0 |
Ever treated for drug abuse | 104 | 86.0 |
Illicit drug use since release | 82 | 67.8 |
Sex since release | 101 | 83.5 |
Unprotected sex since release | 77 | 63.6 |
History of powder cocaine use | 80 | 66.1 |
Before most recent incarceration | 74 | 92.5* |
Since release from prison | 31 | 38.8* |
History of rock/crack cocaine use | 57 | 47.1 |
Before most recent incarceration | 56 | 52.9** |
Since release from prison | 19 | 33.3** |
History of heroin use | 42 | 34.7 |
Before most recent incarceration | 37 | 88.1*** |
Since release from prison | 23 | 54.8*** |
Used needle to shoot up drugs since release | 7 | 5.8 |
How soon after release from most recent incarceration did you use drugs? (days) | ||
Did not use | 39 | 32.2 |
Within 1 day | 36 | 29.8 |
1 to 7 days | 19 | 15.7 |
Over 7 days | 27 | 22.3 |
Type of drug offense | ||
Drug distribution or intent to sell | 75 | 62.0 |
Drug possession only | 46 | 38.0 |
percentage calculated by dividing the frequency by the number of participants who had ever used powder cocaine
percentage calculated by dividing the frequency by the number of participants who had ever used rock/crack cocaine
percentage calculated by dividing the frequency by the number of participants who had ever used heroin
Essentially all of our participants reported a history of drug use (99.2%); only 1 participant (0.8%) reported not having used any illicit drugs. Most of the participants with a history of drug use reported using marijuana (92.6%). Excluding marijuana use, approximately 83 percent (n=100) of the participants have used other illicit drugs. Approximately 86 percent (n =104) of our participants reportedly received drug treatment at some point in their lives; the average number of times that participants received drug treatment was 4.0 (SD=4.6).
Many participants had an extensive criminal justice history; 91 percent (n=110) had been previously incarcerated. On average, as an adult, they had been incarcerated 11.9 times (SD=12.2; range = 1–73). In addition to committing drug-related offenses, participants also reportedly committed property offenses (17.4%), and violent offenses (15.7%).
Survival curves
The results from the survival curves for post release-drug use are presented in Figure 1. Out of 121 participants, 36 (29.8%) had used drugs within 1 day after release. By two weeks after release, half of participants had used drugs. For comparisons of time-to-drug use between groups, only sex and history of heroin use were significant predictors according to the log rank test. As figure 2 demonstrates, on average, women used drugs sooner post release than men (median survival time 1 day vs. 30 days, respectively). Log rank test p-value = 0.035. According to Figure 3, on average, those with a history of heroin use resumed their drug use sooner post release than those who had never used heroin (median survival time 7 days vs. 30 days, respectively). Log rank test p-value = 0.026.
Univariable models
Univariable cox proportional hazards models identified sex (p=0.04) and history of heroin use (p=0.03) to be significant predictors of post-release drug use. Additionally, history of powder cocaine use (p=0.06), having ever had a same sex partner (p=0.09), and type of drug offense (p=0.06) approached significance as predictors of post-release drug use.
Multivariable model
In the multivariable model, women had 1.91 (90% CI= 1.10, 3.30) times the hazards of post-release drug use compared to men. Those with a history of heroin usage had 1.49 (90% CI=1.01, 2.19) times the hazards of using drugs post-release compared to those who had never used heroin.
Discussion
This study sought to identify factors that correlate with return to illicit drug use among Black Americans who have recently been released from prison. Overall, the findings suggest that individuals convicted of drug-related offenses return quickly to drug use. Female participants returned to drug use more quickly than male participants, and those who had a history of heroin usage returned to drug use more quickly than those who had never used heroin. Our findings reflect previous research in this area demonstrating barriers to accessing prison-based drug treatment programs, including gender-specific challenges, and barriers to avoiding substance use in the post-release period.
Formerly incarcerated individuals face substantial obstacles in avoiding illicit drug use upon release from prison. A significant portion of participants in this study (29.8%) returned to drug use within a day of release. The median time of return to drug use was 14 days. These findings align with previous research in this area, including studies showing both high rates of overdose (Binswanger et al., 2012) and high rates of drug use (Butzin, Martin, & Inciardi, 2005; Fox et al., 2015) in the immediate post-release period. Our results also demonstrate the speed with which many individuals resume using illicit drugs. Overall, the findings demonstrate a need for more effective and accessible prison-based drug treatment programs, as well as better discharge and transitional support. Research suggests that the rising incarceration rate in the United States has not been matched by an increase in training to aid the transition from incarceration to community (Travis & Petersilia, 2001), indicating that greater numbers of recently released individuals are re-entering the community without adequate preparation, which is supported by our findings.
Female participants in this study started using drugs more quickly post-release than male participants. The median number of days to return to drug use was 30 days for men and one day for women. It is well established that women face a specific set of challenges as they transition from prison to the community. Incarcerated women are more likely than men to suffer from psychiatric disorders, chronic medical disorders, and drug dependence, and are more likely to have a history of injection drug use (Binswanger et al., 2010). Furthermore, in the post-release period, women may be returning to activities that are closely linked with drug use, including sex work (Strathdee et al., 2015). Like men, they may lack the resources to find housing in an area where it will be easier to avoid drugs. They also may be facing the added stressor of fighting to regain custody of children (Leverentz, 2010). Treatment programs must better address these gender-specific needs so that incarcerated women may develop the tools that will allow them to avoid drugs upon release.
The unique needs of heroin users also merit special attention by prison-based drug treatment programs, as our findings showed participants with a history of heroin use returning more quickly to drug use. Research shows that opiate replacement therapy (ORT) using methadone or buprenorphine paired with counseling improves participants’ likelihood of entering drug treatment post-release, and reduces the likelihood of re-entering prison (Kinlock, Gordon, Schwartz, & O’Grady, 2008). However, fewer than half of U.S. prisons provide methadone or buprenorphine to prisoners (Nunn et al., 2009). Broader implementation of ORT in the correctional system has the potential to improve health outcomes and reduce the risk of relapse among heroin users after they leave prison (Zaller et al., 2013).
Our results re-affirm the risks of the immediate post-release period by demonstrating the speed with which many participants returned to drug use. These findings highlight the urgent need for prison-based drug treatment programs designed to help Black Americans, particularly women and heroin users, begin healthier and more satisfying lives upon return to their communities.
Limitations
There are study-related limitations that should be acknowledged. First, the sample for this study is a convenience sample, and is not representative of all formerly incarcerated Black Americans. Second, because of the cross-sectional nature of this study, causality cannot be established. Third, data were collected through self-report, which may have resulted in underreporting of behaviors. Finally, our relatively small sample size may have prevented us from conducting more rigorous analyses, which could have biased the results.
Conclusions
Discharge planning support programs within correctional and community-based settings should be implemented to provide an opportunity for formerly incarcerated individuals to manage their addiction with the support of highly trained health professionals. Given the relationship between drug use and re-incarceration (Prendergast, 2009), the accessibility of such programs is crucial to reducing the burden of substance use problems and risk of recidivism among criminal justice-involved individuals. The potential for immediate return to drug use among our sample suggests that programs that focus specifically on healthy decision-making among women and heroin users are especially critical.
Table 2.
Predictors | Crude hazards ratios (95% CI) | p-value |
---|---|---|
Age | ||
Less than 30 | 1.00** | 0.78 |
30 to 49 | 1.29 (0.55, 3.02) | |
Over 50 | 1.14 (0.48, 2.73) | |
Sex | 0.040 | |
Men | 1.00** | 0.04 |
Women | 1.95 (1.03, 3.69) | |
Marital status | ||
Other | 1.00** | 0.24 |
Never married | 0.75 (0.47, 1.21) | |
Educational attainment | ||
Less than high school | 1.00** | 0.99 |
High school or more | 1.00 (0.64, 1.57) | |
First incarceration | ||
No | 1.00** | 0.73 |
Yes | 0.87 (0.40, 1.90) | |
Incarceration duration over 5 years | ||
No | 1.00** | 0.77 |
Yes | 0.92 (0.53, 1.61) | |
History of powder cocaine use | ||
No | 1.00** | 0.06 |
Yes | 1.59 (0.97, 2.59) | |
History of rock or crack cocaine use | ||
No | 1.00** | 0.19 |
Yes | 1.34 (0.87, 2.07) | |
History of heroin use | ||
No | 1.00** | 0.03 |
Yes | 1.64 (1.06, 2.55) | |
History ofcsame sex partnership | ||
No | 1.00** | 0.09 |
Yes | 1.51 (0.94, 2.41) | |
Type of drug offense | ||
Drug distribution or intent to sell | 1.00** | 0.06 |
Drug possession only | 1.52 (0.98, 2.34) |
Reference category
Table 3.
Predictors | Crude hazards ratios (90% CI) | Adjusted hazards ratios (90% CI) |
---|---|---|
Sex | ||
Men | 1.00** | 1.00** |
Women | 1.95 (1.14, 3.33) | 1.91 (1.10, 3.30) |
History ofpowder cocaine use | ||
No | 1.00** | 1.00** |
Yes | 1.59 (1.05, 2.39) | 1.39 (0.86, 2.27) |
History of rock or crack cocaine use | ||
No | 1.00** | 1.00** |
Yes | 1.34 (0.93, 1.93) | 1.08 (0.72, 1.64) |
History of heroin use | ||
No | 1.00** | 1.00** |
Yes | 1.64 (1.14, 2.38) | 1.49 (1.01, 2.19) |
History of same sex partnership | ||
No | 1.00** | 1.00** |
Yes | 1.51 (1.01, 2.24) | 1.34 (0.88, 2.04) |
Type of drug offense | ||
Drug distribution or intent to sell | 1.00** | 1.00** |
Drug possession only | 1.52 (1.05, 2.19) | 1.36 (0.93, 1.99) |
Multivariable cox proportional hazards model with predictors of sex, ever powder cocaine use, ever rock or crack cocaine use, ever heroin use, ever same sex partner, and type of drug offense.
Reference category
Acknowledgments
This work was supported by a grant from the National Institute on Drug Abuse under Grant number K01DA036411.
Footnotes
Disclosure of interest. The authors have no conflicts of interest to report.
References
- Beckett K, Nyrop K, Pfingst L. Race, drugs, and policing: Understanding disparities in drug delivery arrests. Criminology. 2006;44(1):105–137. doi: 10.1111/j.1745-9125.2006.00044.x. [DOI] [Google Scholar]
- Binswanger IA, Blatchford PJ, Lindsay RG, Stern MF. Risk factors for all-cause, overdose and early deaths after release from prison in Washington state. Drug Alcohol Depend. 2011;117(1):1–6. doi: 10.1016/j.drugalcdep.2010.11.029. [DOI] [PubMed] [Google Scholar]
- Binswanger IA, Nowels C, Corsi KF, Glanz J, Long J, Booth RE, Steiner JF. Return to drug use and overdose after release from prison: a qualitative study of risk and protective factors. Addiction Science & Clinical Practice. 2012;7(1):1–9. doi: 10.1186/1940-0640-7-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Binswanger IA, Stern MF, Deyo RA, Heagerty PJ, Cheadle A, Elmore JG, Koepsell TD. Release from prison - A high risk of death for former inmates. New England Journal of Medicine. 2007;356(2):157–165. doi: 10.1056/Nejmsa064115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Braithwaite Ronald L. Male prisoners and HIV prevention: a call for action ignored. American journal of public health (1971) 2003;93(5):759–763. doi: 10.2105/ajph.93.5.759. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Butzin CA, Martin SS, Inciardi JA. Treatment during transition from prison to community and subsequent illicit drug use. Journal of Substance Abuse Treatment. 2005;28(4):351–358. doi: 10.1016/j.jsat.2005.02.009. [DOI] [PubMed] [Google Scholar]
- Carson AE. Prisoners. Vol. 2014. Washington, DC: Department of Justice, Bureau of Justice Statistics; 2015. [Google Scholar]
- Chandler RK, Fletcher BW, Volkow ND. Treating drug abuse and addiction in the criminal justice system: improving public health and safety. JAMA. 2009;301(2):183–190. doi: 10.1001/jama.2008.976. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Choopanya K, Des Jarlais DC, Vanichseni S, Kitayaporn D, Mock PA, Raktham S, Mastro TD. Incarceration and risk for HIV infection among injection drug users in Bangkok. J Acquir Immune Defic Syndr. 2002;29(1):86–94. doi: 10.1097/00126334-200201010-00012. [DOI] [PubMed] [Google Scholar]
- Fox AD, Anderson MR, Bartlett G, Valverde J, Starrels JL, Cunningham CO. Health Outcomes and Retention in Care Following Release from Prison for Patients of an Urban Post-incarceration Transitions Clinic. Journal of Health Care for the Poor and Underserved. 2014;25(3):1139–1152. doi: 10.1353/hpu.2014.0139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fox AD, Maradiaga J, Weiss L, Sanchez J, Starrels JL, Cunningham CO. Release from incarceration, relapse to opioid use and the potential for buprenorphine maintenance treatment: a qualitative study of the perceptions of former inmates with opioid use disorder. Addiction Science & Clinical Practice. 2015;10(2) doi: 10.1186/s13722-014-0023-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Karberg JC, James DJ. Substance Dependence, Abuse, and Treatment of Jail Inmates. Washington, DC: Office of Justice Programs, Bureau of Justice Statistics; 2005. p. 2002. [Google Scholar]
- Kinlock TW, Gordon MS, Schwartz RP, O’Grady KE. A study of methadone maintenance for male prisoners. Criminal Justice and Behavior. 2008;35(1):34–47. doi: 10.1177/0093854807309111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Leach D, Oliver P. Drug-related death following release from prison: A brief review of the literature with recommendations for practice. Current Drug Abuse Reviews. 2011;4(4):292–297. doi: 10.2174/1874473711104040292. [DOI] [PubMed] [Google Scholar]
- MacGowan RJ, Margolis A, Gaiter J, Morrow K, Zack B, Askew J, Eldridge GD. Predictors of risky sex of young men after release from prison. Int J STD AIDS. 2003;14(8):519–523. doi: 10.1258/095646203767869110. [DOI] [PubMed] [Google Scholar]
- Merrall ELC, Kariminia A, Binswanger IA, Hobbs MS, Farrell M, Marsden J, Bird SM. Meta-analysis of drug-related deaths soon after release from prison. Addiction. 2010;105(9):1545–1554. doi: 10.1111/j.1360-0443.2010.02990.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Millett GA, Flores SA, Peterson JL, Bakeman R. Explaining disparities in HIV infection among black and white men who have sex with men: a meta-analysis of HIV risk behaviors. AIDS. 2007;21(15):2083–2091. doi: 10.1097/QAD.0b013e3282e9a64b. [DOI] [PubMed] [Google Scholar]
- Millett GA, Peterson JL, Flores SA, Hart TA, Jeffries WL, Wilson PA, Remis RS. Comparisons of disparities and risks of HIV infection in black and other men who have sex with men in Canada, UK, and USA: a meta-analysis. Lancet. 2012;308(9839):341–348. doi: 10.1016/S0140-6736(12)60899-X. [DOI] [PubMed] [Google Scholar]
- Prendergast ML. Interventions to promote successful re-entry among drug-abusing parolees. Adiction Science & Clinical Practice. 2009;5(1):4–13. doi: 10.1151/ascp09514. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rowell TL, Wu E, Hart CL, Haile R, El-Bassel N. Predictors of drug use in prison among incarcerated Black men. Am J Drug Alcohol Abuse. 2012;38(6):593–597. doi: 10.3109/00952990.2012.694536. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Seaman SR, Brettle RP, Gore SM. Mortality from overdose among injecting drug users recently released from prison: database linkage study. BMJ. 1998;316(7129):426–428. doi: 10.1136/bmj.316.7129.426. [DOI] [PMC free article] [PubMed] [Google Scholar]
- The National Center on Addiction and Substance Abuse at Columbia University. Behind Bars II: Substance abuse and America’s prison population. New York, NY: Columbia University; 2010. [Google Scholar]
- The Sentencing Project. Trends in US Corrections. Washington, DC: The Sentencing Project; 2015. [Google Scholar]
- Vlahov D, Putnam S. From corrections to communities as an HIV priority. J Urban Health. 2006;83(3):339–348. doi: 10.1007/s11524-006-9041-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- White D, Rosenberg ES, Cooper HLF, del Rio C, Sanchez TH, Salazar LF, Sullivan PS. Racial differences in the validity of self-reported drug use among men who have sex with men in Atlanta, GA. Drug and Alcohol Dependence. 2014;138:146–153. doi: 10.1016/j.drugalcdep.2014.02.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wood E, Li K, Small W, Montaner JS, Schechter MT, Kerr T. Recent incarceration independently associated with syringe sharing by injection drug users. Public Health Rep. 2005;120(2):150–156. doi: 10.1177/003335490512000208. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Young DW, Farrell JL, Henderson CE, Taxman FS. Filling service gaps: Providing intensive treatment services for offenders. Drug and Alcohol Dependence. 2009;103:S33–S42. doi: 10.1016/j.drugalcdep.2009.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zaller N, McKenzie M, Friedmann PD, Green TC, McGowan S, Rich JD. Initiation of buprenorphine during incarceration and retention in treatment upon release. Journal of Substance Abuse Treatment. 2013;45(2):222–226. doi: 10.1016/j.jsat.2013.02.005. [DOI] [PMC free article] [PubMed] [Google Scholar]