Substance use treatment programs for criminal justice populations have great potential for crime reduction, if they can effectively manage patients’ risk for relapse and rearrest. The current study used data drawn from the Comprehensive Assessment and Treatment Outcome Research (CATOR) system, a national registry of substance use treatment programs, which collected patient outcome data at 6- and 12-month intervals following discharge from treatment. The primary objective was to examine sets of factors that may compromise relapse and rearrest outcomes among patients who were court mandated to participate in treatment. Findings demonstrated that patients’ clinical severity of substance use was associated with relapse, which also significantly increased the probability of post-treatment arrest. Adolescent risk behaviors represented another set of risk factors, particularly among patients who experienced the most severe pattern of relapse and arrest outcomes. Additionally, demographic risk factors, including age, marital status (i.e., single or unmarried relative to married), employment (i.e., being unemployed compared to employed), and lower educational attainment were consistently linked to higher probabilities of relapse and rearrest. Treatment programs for criminal justice populations should consider incorporating appropriate clinical risk assessment measures, behavioral risk assessments, and appropriate employment interventions into standard treatment programming in an effort to improve outcomes.
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American Psychiatric Association (2013). Diagnostic and statistical manual of mental disorders, fifth edition. Washington, DC: Author.
American Psychiatric Association (1994). Diagnostic and statistical manual of mental disorders (4th ed., ). Washington, DC: American Psychiatric Association.
Bhati, A. S., & Roman, J. K. (2010). Simulated evidence on the prospects of treating more drug-involved offenders. Journal of Experimental Criminology, 6, 1–33.
Dimeff, L. A., & Linehan, M. M. (2008). Dialectical behavior therapy for substance abusers. Addiction Science and Clinical Practice, 4, 39–47.
Evans, E., Huang, D., & Hser, Y. (2011). High-risk offenders participating in court-supervised substance abuse treatment: Characteristics, treatment received, and factors associated with recidivism. The Journal of Behavioral Health Sciences & Research, 38, 510–525.
Gudjonsson, G. H., Wells, J., & Young, S. (2011). Motivation for offending among prisoners and the relationship with axis I and axis II disorders and ADHD symptoms. Personality and Individual Differences, 50, 64–68.
Henderson, M. L. (2001). Employment and crime: What is the problem and what can be done about it from the inmate’s perspective? Corrections Management Quarterly, 5, 46–52.
Holloway, K. R., Bennett, T. H., & Farrington, D. P. (2006). The effectiveness of drug treatment programs in reducing criminal behavior: A meta-analysis. Psicotherma, 18, 620–629.
Hubbard, R. L., Craddock, S. G., Flynn, P. M., Anderson, J., & Etheridge, R. M. (1997). Overview of 1-year follow-up outcomes in the drug abuse treatment outcome study (DATOS). Psychology of Addictive Behaviors, 11, 261–278.
Hubicka, B., Laurell, H., & Bergman, H. (2010). Psychosocial characteristics of drunk drivers assessed by the addiction severity index, prediction of relapse. Scandinavian Journal of Public Health, 38, 71–77.
Huebner, B., & Cobbina, J. (2007). The effect of drug use, drug treatment participation, and treatment completion on probationer recidivism. Journal of Drug Issues, 37, 619–642.
Kahneman, D. (2011). Thinking, fast and slow. New York, NY: Farrar, Straus, and Giroux.
Keene, J. (2005). A case-linkage study of the relationship between drug misuse, crime, and the psychosocial problems in a total criminal justice population. Addiction Research and Theory, 13(5), 489–502.
King, R., & Elderbroom, B. (2014). Improving recidivism as a performance measure (justice policy center brief). Washington, DC: Urban Institute.
Lattimore, P. K., Krebs, C. P., Koetse, W., Lindquist, C., & Cowell, A. J. (2005). Predicting the effect of substance abuse treatment on probationer recidivism. Journal of Experimental Criminology, 1, 159–189.
Little, L., Butler, L. S., & Fowler, J. (2010). Change from the ground up: Bringing informed dialectical behavior therapy to residential treatment. Residential Treatment for Children & Youth, 27, 80–91.
Listwan, S. J., Sundt, J. L., Holsinger, A. M., & Latessa, E. J. (2003). The effect of drug court programming on recidivism: The Cincinnati experience. Crime and Delinquency, 49, 389–411.
Menard, S. (2002). Applied logistic regression analysis (2nd ed., ). Thousand Oaks, CA: Sage Publications.
Miller, N. S., Ninonuevo, F. G., Klamen, D. L., Hoffmann, N. G., & Smith, D. E. (1997). Integration of treatment and posttreatment variables in predicting results of abstinence-based outpatient treatment after one year. Journal of Psychoactive Drugs, 29, 239–248.
Musto, D. F. (1999). The American disease: Origins of narcotic control (3rd ed., ). New York: Oxford University Press.
Office of National Drug Control Policy. (2011). ADAM II: 2010 Annual Report. Retrieved from http://www.whitehouse.gov/sites/default/files/ondcp/policy-and-research/adam2010.pdf
Office of National Drug Control Policy. (2012). National drug control strategy. Retrieved from http://www.whitehouse.gov/sites/default/files/ondcp/2012_ndcs.pdf
Piquero, A. R., Farrington, D. P., Fontaine, N. M. G., Vincent, G., Coid, J., & Ullrich, S. (2012). Childhood risk, offending trajectories, and psychopathy at age 48 years in the Cambridge study in delinquent development. Psychology, Public Policy, and Law, 18, 577–598.
Prendergast, M. L., Hall, E. A., & Wexler, H. K. (2003). Multiple measures of outcome in assessing a prison-based drug treatment program. Journal of Offender Rehabilitation, 37, 65–94.
Proctor, S. L., & Herschman, P. L. (2014). The continuing care model of substance use treatment: What works, and when is “enough,” “enough?”. Psychiatry Journal. doi:10.1155/2014/692423.
Rengifo, A. F. & Stemen, D. (2013). The impact of drug treatment on recidivism: Do mandatory programs make a difference? Evidence from Kansas’s Senate Bill 123. Crime and Delinquency, 930–950.
Robins, C. J., & Chapman, A. L. (2004). Dialectical behavior therapy: Current status, recent developments, and future directions. Journal of Personality Disorders, 18, 73–89.
Robles, E., Huang, B. E., Simpson, P. M., & McMillan, D. E. (2011). Delay discounting, impulsiveness, and addiction severity in opioid-dependent patients. Journal of Substance Abuse Treatment, 41, 354–362.
StataCorp (2009). Stata statistical software: Release 11. In College Station. TX: StataCorp LP.
Staton, M., Mateyoke, A., Leukefeld, C., Cole, J., Hopper, H., Logan, T. K., & Minton, L. (2001). Employment issues among drug court participants. Journal of Offender Rehabilitation, 33, 73–85.
Sung, H., & Belenko, S. (2005). Failure after success: Correlates of recidivism among individuals who successfully completed coerced drug treatment. Journal of Offender Rehabilitation, 42, 75–97.
Tripodi, S. J., Kim, J. S., & Bender, K. (2010). Is employment associated with reduced recidivism? The complex relationship between employment and crime. International Journal of Offender Therapy and Comparative Criminology, 54, 706–720.
Turley, A., Thornton, T., Johnson, C., & Azzolino, S. (2004). Jail drug and alcohol treatment program reduces recidivism in nonviolent offenders: A longitudinal study of Monroe county, New York’s jail treatment drug and alcohol program. International Journal of Offender Therapy and Comparative Criminology, 48, 721–728.
U.S. Department of Justice, Federal Bureau of Prisons. (2009). Psychology treatment programs. Retrieved from http://www.bop.gov/policy/progstat/5330_011.pdf
van der Zanden, B. P., Dijkgraaf, M. G. W., Blanken, P., van Ree, J. M., & van den Brink, W. (2007). Patterns of acquisitive crime during methadone maintenance treatment among patients eligible for heroin assisted treatment. Drug and Alcohol Dependence, 86, 84–90.
Webster, J. M., Staton-Tindall, M., Dickson, M. F., Wilson, J. F., & Leukefeld, C. G. (2014). Twelve-month employment intervention outcomes for drug-involved offenders. The American Journal of Drug and Alcohol Abuse, 40, 200–205.
Wickizer, T., Maynard, C., Atherly, A., Frederick, M., Koepsell, T., Krupski, A., & Stark, K. (1994). Completion of clients discharged from drug and alcohol treatment programs in Washington State. American Journal of Public Health, 84, 215–221.
World Health Orgnization (WHO) (2006). Lexicon of alcohol and drug terms Published by the World Health Organization. Retrieved from http://www.who.int/substance_abuse/terminology/who_lexicon/en/
Zywiak, W. H., Hoffmann, N. G., & Floyd, A. S. (1999). Enhancing alcohol treatment outcomes through aftercare and self-help groups. Medicine & Health/Rhode Island, 82(3), 87–90.
Items included in the clinical severity index.
What was your most recent ingestion of alcohol, marijuana, cocaine, stimulants, barbiturates/sedative, opiates, tranquilizers, hallucinogens, narcotic painkillers, other: (0) Did not use substances in the past 24 h, (1) Used one substance in the past 24 h, (2) Used multiple substances in the past 24 h.
What was your typical use of alcohol, marijuana, cocaine, stimulants, barbiturates/sedative, opiates, tranquilizers, hallucinogens, narcotic painkillers, other in the past year? (0) Did not use any substance daily, (1) Used one substance daily, (2) Used multiple substances daily.
Have you ever used a needle to inject street drugs? (0) No (1) Yes.
Have you ever drank a fifth of liquor, 20 drinks, 3 six-packs of beer, or 3 bottles of wine in one day? (0) No (1) Yes.
Have you ever had delirium tremens, fits, seizures, or hallucinations after stopping drinking? (0) No (1) Yes.
Have you ever had withdrawal symptoms after stopping drug use? (0) No (1) Yes
Patients who met diagnostic criteria for dependence on one substance were coded (1), those who met criteria for dependence on two substances were coded (2), those who met criteria for three were coded (3), up to (6) for those who met criteria for dependence on six substances.
Patients who did not use alcohol or drugs during treatment were coded (0) and those who did use alcohol or drugs during treatment were coded (1).
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Kopak, A.M., Hoffmann, N.G. & Proctor, S.L. Key Risk Factors for Relapse and Rearrest Among Substance Use Treatment Patients Involved in the Criminal Justice System. Am J Crim Just 41, 14–30 (2016). https://doi.org/10.1007/s12103-015-9330-6
- Treatment outcomes
- Drug dependence
- Crime prevention