By Katie A. Witkiewitz, G. Alan Marlatt
Describes the evidence-based techniques to combating relapse of significant psychological and substance-related problems. Therapist's advisor to Evidence-based Relapse Prevention combines the theoretical cause, empirical information, and the sensible "how-to" for intervention programs.The first part will serve to explain the cognitive-behavioral version of relapse and supply a normal advent to relapse prevention concepts. whereas part II will specialise in particular areas of difficulty, part III will specialise in different populations and therapy settings. *Incorporates theoretical and empirical support*Provides step by step suggestions for imposing relapse prevention techniques*Includes case reports that describe software of relapse prevention strategies
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Extra info for Therapist's Guide to Evidence-Based Relapse Prevention (Practical Resources for the Mental Health Professional) (Practical Resources for the Mental Health Professional)
However, during the follow-up period, a CBT sleeper effect emerged again, where the CBT group had better outcomes at the 26-week and 52-week follow-up than the CM group. , 2003). Two trials have compared the delivery of RP in individual versus group format. Schmitz et al. (1997) and Marques & Formigoni (2001) found no differences in-group versus individually delivered CBT. These results suggest that CBT/RP can be effectively implemented in either format. Furthermore, a recent study has demonstrated that stress-induced cocaine craving is predictive of cocaine relapse outcomes.
Indd 24 1/12/2007 12:03:34 PM High-Risk Situations: Relapse as a Dynamic Process 25 DYNAMICAL SYSTEMS PROCESSES For almost 30 years addictive behaviors researchers have been referring to relapse as complex and some theoretical writings have mused about addiction and relapse as chaotic processes (Ehlers, 1992; Skinner, 1989; Zeeman, 1977). Chaos theory has become a popular phrase that is used often to describe phenomenon that are derived from the more general nonlinear dynamical systems theory. In the following section we highlight a few general processes in light of the recent empirical work that has provided support for a nonlinear dynamical conceptualization of relapse.
2005) recently clearly demonstrated the importance of better understanding of the factors influencing transitions in the recovery cycle, shifting the focus to better identify the chronic and cyclical nature of addiction, evaluate long-term recovery management models to shorten the cycle through correcting the mislabel of relapse as failure and identifying it as a part of the process of treatment. Patients who remain in treatment the longest generally have the best outcomes (NIDA, 1997a, 1997b).