Although relapse prevention (RP) has become a widely adopted cognitive-behavioral treatment intervention for alcohol, smoking, and other substance use, outcome studies have yielded an inconsistent picture of the efficacy of this approach or conditions for maximal effectiveness. A meta-analysis was performed to evaluate the overall effectiveness of RP and the extent to which certain variables may relate to treatment outcome. Twenty-six published and unpublished studies with 70 hypothesis tests representing a sample of 9,504 participants were included in the analysis. Results indicated that RP was generally effective, particularly for alcohol problems. Additionally, outcome was moderated by several variables. Specifically, RP was most effective when applied to alcohol or polysubstance use disorders, combined with the adjunctive use of medication, and when evaluated immediately following treatment using uncontrolled pre-post tests.

R. Eisenberger's (1992) learned industriousness theory states that individuals display differing degrees of persistence depending on their history of reinforcement for effortful behavior. These differences may influence the development, maintenance, and cessation of addictive behaviors. In cross-sectional studies, E. P. Quinn, T. H. Brandon, and A. L. Copeland (1996) found that cigarette smokers were less persistent than nonsmokers, and R. A. Brown, C. W. Lejuez, C. W. Kahler, and D. R. Strong (2002) found that smokers who had previously abstained for 3 months were more persistent than those who had never quit. The present study extended these findings by using a prospective design. A pretreatment measure of task persistence (mirror tracing) completed by 144 smokers predicted sustained abstinence throughout 12 months of follow-up. Moreover, persistence predicted outcome independent of other significant predictors: gender, nicotine dependence, negative affect, and self-efficacy.

This paper is part of a series that has the goal of identifying potential approaches toward developing new instruments for assessing tobacco dependence among adolescents. The fundamental assumption underlying the series is that contemporary theories of drug dependence offer a rich source of opportunities for the development of theoretically based assessment tools. The present paper focuses on cognitive and social-learning models of drug dependence and the implications of these models for novel assessment instruments. In particular, the paper focuses on Mark Goldman's model of drug expectancies, Albert Bandura's model of self-efficacy, Thomas Wills's model of stress and coping and Stephen Tiffany's cognitive-processing model of drug urges and cravings. In addition to traditional self-report measures, naturalistic and laboratory-based assessments are identified that may yield information relevant to multi-dimensional measurement of tobacco dependence.

Problem behavior is common in early childhood special education classrooms. Functional communication training (FCT; Carr & Durand, 1985) may reduce problem behavior but requires identification of its function. The trial-based functional analysis (FA) is a method that can be used to identify problem behavior function in schools. We conducted trial-based FAs and FCT with 3 children in an early childhood special education setting. All trial-based FAs resulted in identification of behavioral functions, and subsequent FCT led to reductions in problem behavior and increases in communication.