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Randomized Controlled Trial
. 2013 Sep-Oct;22(5):500-2.
doi: 10.1111/j.1521-0391.2013.12049.x. Epub 2013 Apr 3.

Community-based treatment for opioid dependent offenders: a pilot study

Affiliations
Randomized Controlled Trial

Community-based treatment for opioid dependent offenders: a pilot study

Randy Brown et al. Am J Addict. 2013 Sep-Oct.

Abstract

Background: Primary care opioid substitution treatment (OST) has not been compared to program-based OST for community-supervised offenders.

Objective: The purpose of this project was to compare primary care to specialist supervised OST for opioid dependent offenders in terms of substance use and HIV risk outcomes.

Methods: This project randomly assigned 15 jail diversion participants to either: (i) primary care buprenorphine OST, (ii) specialist facility buprenorphine OST, or (iii) specialist facility methadone OST. Participation lasted 13.5 months (12-month active treatment plus a post-participation visit).

Results: All subjects endorsed 0 days of opioid use in the previous 14 at follow-up. Specialty care reduced HIV risk (Risk Assessment Battery composite score) over 6 months (-.24 ± .17) compared to primary care (.02 ± .14; p = .032).

Conclusion: Findings support primary care OST feasibility for a community-supervised offender sample. Specialist care may facilitate improvements in secondary outcomes, such as HIV risk behaviors.

Scientific significance: Further research is needed to clarify (i) the role of primary care in addicted offender management, and (ii) the matching of offenders, based upon history and co-morbidity, to care coordination conditions.

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Conflict of interest statement

Declaration of Interest:

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this paper.

Figures

Figure 1
Figure 1
HIV risk behaviors as measured by composite score on the Risk Assessment Battery--differences from baseline at study weeks 24, 52 and at post-participation follow-up as compared to baseline. (MHS = specialist treatment site, Madison Health Services, Wingra = primary care site, Access Community Health Centers-Wingra). The “box plot” depicts information regarding the mean (dot within boxes) difference between baseline RAB score and the result of re-administration at weeks 24, 52, and 58 (FU).

References

    1. Bohnert AS, Fudalej S, Ilgen MA. Increasing poisoning mortality rates in the United States 1999–2006. Public Health Rep. 2010 Jul-Aug;125(4):542–547. - PMC - PubMed
    1. SAMHSA. Drug Abuse Warning Network, 2006: National Estimates of Drug-Related Emergency Department Visits. Rockville, MD: Substance Abuse & Mental Health Services Administration, Office of Applied Studies; 2008.
    1. Magura S, Kang SY, Shapiro JL. Measuring cocaine use by hair analysis among criminally involved youth. J. Drug Issues. 1995;25:683–701.
    1. Nurco DN. A long-term program of research on drug use and crime. Subst. Use Misuse. 1998 Jul;33(9):1817–1837. - PubMed
    1. Sobell LC, Sobell MB. Timeline follow-back: A technique for assessing self-reported alcohol consumption. In: Litten RZ, Allen JP, editors. Measuring alcohol consumption: Psychosocial and biochemical methods. Totowa, NJ: Humana Press; 1992. pp. 41–72.

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