Individual and social network factors that predict entry to drug treatment

Am J Addict. 2007 Jan-Feb;16(1):38-45. doi: 10.1080/10601330601080057.

Abstract

Prospective data were analyzed to examine individual and social network characteristics that predict entry into drug treatment among a sample of 557 heroin and cocaine users. Entering treatment was associated with being HIV positive [AOR: 2.25, 95% CI: 1.33-3.81] and a history of drug treatment [AOR: 3.41, 95% CI: 2.19-5.31]. Individuals with a greater number of social network members who were in drug treatment [AOR: 1.29, 95% CI: 1.07-1.56] and fewer network members who smoked crack [AOR: 0.86, 95% CI: 0.75-0.99] were more likely to enter treatment. Social network-based interventions that promote successful outcomes in drug treatment are needed.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Baltimore / epidemiology
  • Community Mental Health Services / organization & administration
  • Community Mental Health Services / statistics & numerical data*
  • Female
  • Follow-Up Studies
  • HIV Infections / epidemiology
  • HIV Infections / prevention & control
  • Humans
  • Male
  • Mental Health Services / statistics & numerical data*
  • Patient Acceptance of Health Care / statistics & numerical data*
  • Prospective Studies
  • Risk-Taking
  • Social Support*
  • Substance-Related Disorders / rehabilitation*