Individual and social network factors that predict entry to drug treatment

Melissa A. Davey, Carl A. Latkin, Wei Hua, Karin E. Tobin, Steffanie Strathdee

Research output: Contribution to journalArticlepeer-review

32 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)38-45
Number of pages8
JournalAmerican Journal on Addictions
Issue number1
StatePublished - Jan 2007

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Clinical Psychology
  • Psychiatry and Mental health


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