AA was established in 1935 as a nonprofessional mutual aid group for people who desire abstinence from alcohol, and its 12 Steps became integrated in SUD treatment programs in the 1940s and 1950s with the emergence of the Minnesota Model of treatment (White & Kurtz, 2008). The Minnesota Model involved inpatient SUD treatment incorporating principles of AA, with a mix of professional and peer support staff (many of whom were members of AA), and a requirement that patients attend abstinence violation effect AA or NA meetings as part of their treatment (Anderson, McGovern, & DuPont, 1999; McElrath, 1997). This model both accelerated the spread of AA and NA and helped establish the abstinence-focused 12-Step program at the core of mainstream addiction treatment. This standard persisted in SUD treatment even as strong evidence emerged that a minority of individuals who receive 12-Step treatment achieve and maintain long-term abstinence (e.g., Project MATCH Research Group, 1998).
How Key Early Ideas Helped Shape Today’s Harm Reduction Movement.
Posted: Tue, 23 Nov 2021 08:00:00 GMT [source]
The second strategy, which is possibly the most important aspect of RP, involves evaluating the client’s existing motivation and ability to cope with specific high-risk situations and then helping the client learn more effective coping skills. The Form 90 (Miller & Del Boca, 1994; Tonigan, Miller, & Brown, 1997) was used to obtain pretreatment measures of drinking and the Time-Line Follow-Back (TLFB) interview (Sobell & Sobell 1992) was used to obtain daily reports of the number of drinks consumed during the 16 week treatment period. Developed for Project MATCH, the Form 90 incorporates aspects of TLFB and grid-averaging methodologies in order to accurately assess participants’ alcohol consumption. Percent days abstinent (PDA), drinks per drinking day (DPDD), and days to relapse during treatment were calculated from the TLFB interview data. Future research with a data set that includes multiple measures of risk factors over multiple days can help in validating the dynamic model of relapse.
It is essential to understand what individuals with SUD are rejecting when they say they do not need treatment. In this model, treatment success is defined as achieving and sustaining total abstinence from alcohol and drugs, and readiness for treatment is conflated with commitment to abstinence (e.g., Harrell, Trenz, Scherer, Martins, & Latimer, 2013). Additionally, the system is punitive to those who do not achieve abstinence, as exemplified by the widespread practice of involuntary treatment discharge for those who return to use (White, Scott, Dennis, & Boyle, 2005).
We identify a clear gap in research examining nonabstinence psychosocial treatment for drug use disorders and suggest that increased research attention on these interventions represents the logical next step for the field. A focus on abstinence is pervasive in SUD treatment, defining success in both research and practice, and punitive measures are often imposed on those who do not abstain. Most adults with SUD do not seek treatment because they do not wish to stop using substances, though many also recognize a need for help.
Efforts to develop, test and refine theoretical models are critical to enhancing the understanding and prevention of relapse [1,2,14]. A major development in this respect was the reformulation of Marlatt’s cognitive-behavioral relapse model to place greater emphasis on dynamic relapse processes [8]. Whereas most theories presume linear relationships among constructs, the reformulated model (Figure (Figure2)2) views relapse as a complex, nonlinear process in which various factors act jointly and interactively to affect relapse timing and severity. Against this backdrop, both tonic (stable) and phasic (transient) influences interact to determine relapse likelihood. Tonic processes include distal risks–stable background factors that determine an individual’s “set point” or initial threshold for relapse [8,31].
The use of functional magnetic resonance imaging (fMRI) techniques in addictions research has increased dramatically in the last decade [131] and many of these studies have been instrumental in providing initial evidence on neural correlates of substance use and relapse. In one study of treatment-seeking methamphetamine users [132], researchers examined fMRI activation during a decision-making task and obtained information on relapse over one year later. Based on activation patterns in several cortical regions they were able to correctly identify 17 of 18 participants who relapsed and 20 of 22 who did not. Functional imaging is increasingly being incorporated in treatment outcome studies (e.g., [133]) and there are increasing efforts to use imaging approaches to predict relapse [134]. While the overall number of studies examining neural correlates of relapse remains small at present, the coming years will undoubtedly see a significant escalation in the number of studies using fMRI to predict response to psychosocial and pharmacological treatments.