Trial reportJournal of consulting and clinical psychology2021
Applying methods for personalized medicine to the treatment of alcohol use disorder.
Trial report in Journal of consulting and clinical psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Motivational interviewing for substance use reduction.The Cochrane database of systematic reviews · 2023Pooled it
- Cognitive Reappraisal as a Potential Mechanism of Unified Protocol for Emotional Disorders.Behavior therapy · 2025Trial
- Individualized treatment effects of a digital alcohol intervention and their associations with participant characteristics and engagement.Alcohol and alcoholism (Oxford, Oxfordshire) · 2024Trial
- Predictors of mental health outcomes of three refugee groups in an advocacy-based intervention: A precision medicine perspective.Journal of consulting and clinical psychology · 2024Trial
- Who responds to a multi-component treatment for cannabis use disorder? Using multivariable and machine learning models to classify treatment responders and non-responders.Addiction (Abingdon, England) · 2023Trial
- Psychosocial Interventions for Alcohol Use Disorder: A Review of Efficacy, Mechanisms, and Clinical Implications.Medical science monitor : international medical journal of experimental and clinical research · 2026Review
- Perspective on Using Artificial Intelligence in Alcohol Research and Treatment: Opportunities and Ethical Considerations.Alcohol research : current reviews · 2025Review
- 10-Butyl Ether Minocycline Reduced High Alcohol Consumption in a Dependence Mouse Model.Alcoholism treatment quarterly · 2025Article
- Next-generation biomarkers for alcohol consumption and alcohol use disorder diagnosis, prognosis, and treatment: A critical review.Alcohol, clinical & experimental research · 2025Review
- Risk of Relapse Following Discharge from Non-Hospital Residential Opioid Use Disorder Treatment: A Systematic Review of Studies Published from 2018 to 2022.Substance abuse and rehabilitation · 2025Review
- Predicting Individual Treatment Effects: Challenges and Opportunities for Machine Learning and Artificial Intelligence.Kunstliche intelligenz · 2025Article
- Validation of predicted individual treatment effects in out of sample respondents.Statistics in medicine · 2024Article
- Beyond mediators: A critical review and methodological path forward for studying mechanisms in alcohol use treatment research.Alcohol, clinical & experimental research · 2024Review
- Is internet-based cognitive behavioral therapy for alcohol use disorder equally effective for men and women? Implications of a secondary analysis of a clinical trial.Frontiers in psychiatry · 2024Article
- Patterns of drinking behavior around a treatment episode for alcohol use disorder: Predictions from pre-treatment measures.Alcohol, clinical & experimental research · 2023Article
- New approaches to deep phenotyping in addictions.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023Review
- Classifying risky cannabis involvement in young adults using the Marijuana Consequences Questionnaire (MACQ).Addictive behaviors · 2022Article
- Mechanisms of Behavior Change in Substance Use Disorder With and Without Formal Treatment.Annual review of clinical psychology · 2022Review
- Individual differences in the effects of the ACTION-PAC intervention: an application of personalized medicine in the prevention and treatment of obesity.Journal of behavioral medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveNumerous behavioral treatments for alcohol use disorder (AUD) are effective, but there are substantial individual differences in treatment response. This study examines the potential use of new methods for personalized medicine to test for individual differences in the effects of cognitive behavioral therapy (CBT) versus motivational enhancement therapy (MET) and to provide predictions of which will work best for individuals with AUD. We highlight both the potential contribution and the limitations of these methods.
methodWe performed secondary analyses of abstinence among 1,144 participants with AUD participating in either outpatient or aftercare treatment who were randomized to receive either CBT or MET in Project MATCH. We first obtained predicted individual treatment effects (PITEs), as a function of 19 baseline client characteristics identified a priori by MATCH investigators. Then, we tested for the significance of individual differences and examined the predicted individual differences in abstinence 1 year following treatment. Predictive intervals were estimated for each individual to determine if they were 80% more likely to achieve abstinence in one treatment versus the other.
resultsResults indicated that individual differences in the likelihood of abstinence at 1 year following treatment were significant for those in the outpatient sample, but not for those in the aftercare sample. Individual predictive intervals showed that 37% had a better chance of abstinence with CBT than MET, and 16% had a better chance of abstinence with MET. Obtaining predictions for a new individual is demonstrated.
conclusionsPersonalized medicine methods, and PITE in particular, have the potential to identify individuals most likely to benefit from one versus another intervention. New personalized medicine methods play an important role in putting together differential effects due to previously identified variables into one prediction designed to be useful to clinicians and clients choosing between treatment options. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.