Cocaine addiction remains a serious public health problem. Current treatment methods for cocaine addicts, particularly those seeking treatment in urban settings, are generally inadequate. Thus, there is a significant need to develop and test treatments for cocaine dependence. The current proposal requests continued support for further data analysis of the NIDA Collaborative Cocaine Treatment Study, a large, multi-site psychotherapy clinical trial for patients with DSM-IV cocaine dependence. Five research sites in conjunction with the Coordinating Center, using an identical research protocol, examined the efficiency of two psychotherapies, cognitive-behavioral (CT) and psychodynamic supportive- expressive (SE) psychotherapy, and two drug counseling approaches, individuals, individual drug counseling (ICD) and group drug counseling (GCD). Although the project is fully on schedule, further support is needed to conduct a variety of important additional analyses that are of vital importance to understanding the nature of the efficacy results and pointing the way for future studies. The further analyses involve testing a number of hypotheses about predictors and mediators of treatment response. Three general themes organize the hypotheses for further analysis. These are: (1) Which patients benefit most from psychosocial treatment for cocaine dependence? (2) Do intra-session and extra-session processes influence outcome? And, (3) Do changes in theory-specific constructs mediate change in drug use and other outcomes? In addition to further data analyses, a second general aim of the current proposal is to create a public use dataset that will allow other investigations to pursue questions within our large and rich database.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
1R01DA012249-01
Application #
2749207
Study Section
Human Development Research Subcommittee (NIDA)
Program Officer
Grossman, Debra
Project Start
1999-01-01
Project End
2000-12-31
Budget Start
1999-01-01
Budget End
1999-12-31
Support Year
1
Fiscal Year
1999
Total Cost
Indirect Cost
Name
University of Pennsylvania
Department
Psychiatry
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Crits-Christoph, Paul; Gallop, Robert; Gibbons, Mary Beth Connolly et al. (2013) Measuring Outcome in the Treatment of Cocaine Dependence. J Alcohol Drug Depend 1:
Dennhag, Inga; Gibbons, Mary Beth Connolly; Barber, Jacques P et al. (2012) Do supervisors and independent judges agree on evaluations of therapist adherence and competence in the treatment of cocaine dependence? Psychother Res 22:720-30
Dennhag, Inga; Gibbons, Mary Beth Connolly; Barber, Jacques P et al. (2012) How many treatment sessions and patients are needed to create a stable score of adherence and competence in the treatment of cocaine dependence? Psychother Res 22:475-88
Johnson, Jennifer E; Gibbons, Mary Beth Connolly; Crits-Christoph, Paul (2011) Gender, race, and group behavior in group drug treatment. Drug Alcohol Depend 119:e39-45
Stulz, Niklaus; Thase, Michael E; Gallop, Robert et al. (2011) Psychosocial treatments for cocaine dependence: the role of depressive symptoms. Drug Alcohol Depend 114:41-8
Lu, Naiji; Tang, Wan; He, Hua et al. (2009) On the impact of parametric assumptions and robust alternatives for longitudinal data analysis. Biom J 51:627-43
Tang, Wan; Yu, Qin; Crits-Christoph, Paul et al. (2009) A New Analytic Framework for Moderation Analysis --- Moving Beyond Analytic Interactions. J Data Sci 7:313-329
Worley, Matthew; Gallop, Robert; Gibbons, Mary Beth Connolly et al. (2008) Additional treatment services in a cocaine treatment study: level of services obtained and impact on outcome. Am J Addict 17:209-17
Ma, Yan; Tang, Wan; Feng, Changyong et al. (2008) Inference for kappas for longitudinal study data: applications to sexual health research. Biometrics 64:781-9
Tu, X M; Zhang, J; Kowalski, J et al. (2007) Power analyses for longitudinal study designs with missing data. Stat Med 26:2958-81

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