Literature DB >> 17364420

Individual and social network factors that predict entry to drug treatment.

Melissa A Davey1, Carl A Latkin, Wei Hua, Karin E Tobin, Steffanie Strathdee.   

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.

Mesh:

Year:  2007        PMID: 17364420     DOI: 10.1080/10601330601080057

Source DB:  PubMed          Journal:  Am J Addict        ISSN: 1055-0496


  23 in total

1.  Predictors of substance abuse treatment need and receipt among homeless women.

Authors:  Joan S Tucker; Suzanne L Wenzel; Daniela Golinelli; Annie Zhou; Harold D Green
Journal:  J Subst Abuse Treat       Date:  2010-12-24

Review 2.  Social capital and health care access: a systematic review.

Authors:  Kathryn Pitkin Derose; Danielle M Varda
Journal:  Med Care Res Rev       Date:  2009-01-27       Impact factor: 3.929

Review 3.  Network Research Experiences in New York and Eastern Europe: Lessons for the Southern US in Understanding HIV Transmission Dynamics.

Authors:  Samuel R Friedman; Leslie Williams; April M Young; Jennifer Teubl; Dimitrios Paraskevis; Evangelia Kostaki; Carl Latkin; Danielle German; Pedro Mateu-Gelabert; Honoria Guarino; Tetyana I Vasylyeva; Britt Skaathun; John Schneider; Ania Korobchuk; Pavlo Smyrnov; Georgios Nikolopoulos
Journal:  Curr HIV/AIDS Rep       Date:  2018-06       Impact factor: 5.071

4.  Social network characteristics and heavy episodic drinking among women at risk for HIV/sexually transmitted infections.

Authors:  Melissa A Davey-Rothwell; Geetanjali Chander; Laura Hester; Carl A Latkin
Journal:  J Stud Alcohol Drugs       Date:  2011-11       Impact factor: 2.582

5.  I heard about it from a friend: assessing interest in buprenorphine treatment.

Authors:  Aaron D Fox; Pooja A Shah; Nancy L Sohler; Carolina M Lopez; Joanna L Starrels; Chinazo O Cunningham
Journal:  Subst Abus       Date:  2014       Impact factor: 3.716

6.  Dynamic social networks in recovery homes.

Authors:  Leonard A Jason; John M Light; Edward B Stevens; Kimberly Beers
Journal:  Am J Community Psychol       Date:  2014-06

7.  Factors related to psychosocial barriers to drug treatment among Chinese drug users.

Authors:  Brian C Kelly; Tieqiao Liu; Guanbai Zhang; Wei Hao; Jichuan Wang
Journal:  Addict Behav       Date:  2014-04-13       Impact factor: 3.913

8.  Does taking steps to control one's drug use predict entry into treatment?

Authors:  Melissa Davey-Rothwell; Andrea Frydl; Carl Latkin
Journal:  Am J Drug Alcohol Abuse       Date:  2009       Impact factor: 3.829

9.  Racial/Ethnic Differences in Recent Drug Detoxification Enrollment and the Role of Discrimination and Neighborhood Factors.

Authors:  Natalie D Crawford; Abby E Rudolph; Crystal M Fuller
Journal:  Subst Use Misuse       Date:  2013-08-21       Impact factor: 2.164

Review 10.  Social Network Assessments and Interventions for Health Behavior Change: A Critical Review.

Authors:  Carl A Latkin; Amy R Knowlton
Journal:  Behav Med       Date:  2015       Impact factor: 3.104

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.