journal article Apr 20, 2018

Treatment response and non‐response in CBT and Network Support for alcohol disorders: targeted mechanisms and common factors

Addiction Vol. 113 No. 8 pp. 1407-1417 · Wiley
View at Publisher Save 10.1111/add.14224
Abstract
AbstractAimsTo determine whether mechanisms of drinking behavior change that are targeted by specific treatments mediate the effects of Packaged Cognitive Behavior Therapy (PCBT) and Network Support (NS) on abstinence rates throughout 27 months.DesignSecondary analysis of data from two Network Support Project randomized clinical trials, in which participants were assigned to either a case management control treatment (control) or NS treatment in trial 1, or to PCBT or NS treatment in trial 2.SettingAn out‐patient substance abuse treatment site at a university medical center in the United States.ParticipantsA total of 249 men and 154 women (n = 403) with alcohol use disorder.MeasurementsThe primary outcome was membership in a treatment responder class determined by growth mixture modeling (GMM) of monthly proportion days abstinent (PDA) to 27 months. Key predictors of responder class membership included network change variables, and changes in coping scores and self‐efficacy.FindingsGMM analyses indicated that a three‐class solution provided the best fit to the data: a treatment responder class comprising almost 55% of patients, a late relapsing class that showed post‐treatment gains followed by a return to baseline drinking (12.7% of patients) and a non‐responder class (32% of patients). Analyses indicated that treatment effects on responder class membership were moderated by baseline drinking (P < 0.001). PCBT effects were mediated by changes in coping scores (P < 0.05). NS treatment effects were also mediated by coping change, as well as by increases in self‐efficacy and in number of abstinent friends (P < 0.05).ConclusionsLong‐term success in Packaged Cognitive Behavior Therapy and Network Support treatments for alcohol use disorder appears to be mediated by both general mechanisms (developing coping skills and self‐efficacy) and treatment‐targeted mechanisms (developing network strategies that emphasize social support and avoiding friends who drink).
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References
47
[3]
Bandura A. (1986)
[4]
Marlatt G. A. (1985)
[5]
Marlatt G. A. (1985)
[10]
Wellenbring M. L. "The past and future of research on treatment of alcohol dependence" Alcohol Res Health (2010)
[16]
Sinha R. "How does stress lead to risk of alcohol relapse?" Alcohol Res Health (2012)
[22]
Imel Z. E. (2008)
[28]
Clifford P. R. (1991)
[30]
Measuring processes of change: Applications to the cessation of smoking.

James O. Prochaska, Wayne F. Velicer, Carlo C. DiClemente et al.

Journal of Consulting and Clinical Psychology 10.1037/0022-006x.56.4.520
[31]
Derogatis L. R. (2000)
[34]
Kadden R. M. (1992)
[36]
Species Richness of Parasite Assemblages: Evolution and Patterns

Robert Poulin

Annual Review of Ecology and Systematics 10.1146/annurev.ecolsys.28.1.341
[37]
Little R. J. A. (1987)
[38]
Kreft I. (1988)
[42]
Hayes A. F. (2013)
[46]
Behavioral treatment for marijuana dependence: Randomized trial of contingency management and self-efficacy enhancement

Mark D. Litt, Ronald M. Kadden, Nancy M. Petry

Addictive Behaviors 10.1016/j.addbeh.2012.08.011
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Details
Published
Apr 20, 2018
Vol/Issue
113(8)
Pages
1407-1417
License
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Funding
National Institute on Alcohol Abuse and Alcoholism Award: R01 AA012827
Cite This Article
Mark D. Litt, Ronald M. Kadden, Howard Tennen (2018). Treatment response and non‐response in CBT and Network Support for alcohol disorders: targeted mechanisms and common factors. Addiction, 113(8), 1407-1417. https://doi.org/10.1111/add.14224
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