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Patterns of Crime and Drug Use Trajectories in Relation to Treatment Initiation and 5-Year Outcomes

Author

Listed:
  • Michael Prendergast

    (University of California, Los Angeles)

  • David Huang

    (University of California, Los Angeles)

  • Yih-Ing Hser

    (University of California, Los Angeles)

Abstract

Drug abusers vary considerably in their drug use and criminal behavior over time, and these trajectories are likely to influence drug treatment participation and treatment outcomes. Drawing on longitudinal natural history data from three samples of adult male drug users, we identify four groups with distinctive drug use and crime trajectories during the 5 years prior to their first treatment episode. The groups' characteristics of initial treatment are compared. The trajectory groups are then included in Poisson growth curve models to predict drug use, incarceration, and employment during the 5 years following first treatment. Findings indicate that posttreatment drug use decreased and posttreatment employment increased. There was little change in posttreatment incarceration. Posttreatment trajectories for drug use, incarceration, and employment were significantly different across the four trajectory groups.

Suggested Citation

  • Michael Prendergast & David Huang & Yih-Ing Hser, 2008. "Patterns of Crime and Drug Use Trajectories in Relation to Treatment Initiation and 5-Year Outcomes," Evaluation Review, , vol. 32(1), pages 59-82, February.
    • Handle: RePEc:sae:evarev:v:32:y:2008:i:1:p:59-82
    DOI: 10.1177/0193841X07308082
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    References listed on IDEAS

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    1. Bengt Muthén & Kerby Shedden, 1999. "Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm," Biometrics, The International Biometric Society, vol. 55(2), pages 463-469, June.
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