The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
What predicts relapse? Prospective testing of antecedent models
Abstract
Predictors of relapse to drinking were examined in a clinical sample of 122 individuals seeking outpatient treatment for alcohol problems. Drinking status and a variety of predictor variables were measured every two months for one year following presentation for treatment. In addition to pretreatment characteristics, potential antecedents of relapse were assessed at each point within five domains: (1) the occurrence of negative life events; (2) cognitive appraisal variables including self‐efficacy, alcohol expectancies, and motivation for change; (3) client coping resources; (4) craving experiences; and (5) affective/mood status. Although the occurrence of adverse life events did not predict 6‐month relapse, all other domains singly accounted for significant variance in drinking outcomes. Proximal antecedents (from the prior 2‐month interval) significantly and substantially improved predictive power over that achieved from pretreatment characteristics alone. When analyzed jointly, these predictors accounted for a majority of variance in 6‐month relapse status. A prospective test supported Marlatt's developmental model of relapse, pointing to two client factors as optimally predictive of resumed drinking: lack of coping skills and belief in the disease model of alcoholism.
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“twelve-month relapse rates following alcohol or tobacco cessation attempts generally range from 80-95% [1,4]”
From Relapse prevention for addictive behaviors (2011) · cites this paper as [4]
Citations
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Cited by
Ecological momentary assessment
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Client commitment language during motivational interviewing predicts drug use outcomes.
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Metadata
- Authors
- Miller, W. R., Westerberg, V. S., Harris, R. J., & Tonigan, J. S.
- Venue
- Addiction
- Publisher
- Wiley
- Published
- 1996-12
- Volume
- 91
- Issue
- 12s1
- Pages
- 155-172
- ISSN
- 0965-2140 (ISSN-L)
- 1360-0443
- OpenAlex
- W4240624318
- Cited by
- 101
- References
- 52
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1 · 2022: 3 · 2021: 1 · 2019: 7 · 2018: 4 · 2017: 4 · 2016: 5 · 2015: 3 · 2014: 2 · 2013: 6
- FWCI
- 4.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Addiction (publishedVersion)
- Funders
- National Institute on Alcohol Abuse and Alcoholism (K05-AA00133)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
- Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
- Keywords
- recurrence prediction, substance use disorders, relapse risk factors
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- CoChat. (2026). Citation check: What predicts relapse? Prospective testing of antecedent models. https://app.cochat.ai/papers/10.1111/j.1360-0443.1996.tb02336.x
- The paper
- Miller, W. R., Westerberg, V. S., Harris, R. J., & Tonigan, J. S. (1996). What predicts relapse? Prospective testing of antecedent models. Addiction. https://doi.org/10.1111/j.1360-0443.1996.tb02336.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
