ArticleDrug and alcohol dependence2025
Daily profiles of nondrug reward and their association with daily outcomes for people in recovery from opioid use disorder: An application of latent profile analysis applied to intensive longitudinal data.
Article in Drug and alcohol dependence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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Who cites it
2 citing papers in PubMed.
- A qualitative study investigating the role of humor in supporting recovery from addiction.Journal of substance use and addiction treatment · 2026Article
- Between- and within-person predictors of missingness in intensive longitudinal data among people in outpatient treatment for opioid use disorder.Psychological assessmentArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
introductionDaily rewarding experiences not involving drugs are complex and may differentially support recovery from addiction. Rarely has nondrug reward, and its multiple facets (i.e. anticipation, meaning etc.), been examined in daily life-this could uncover the acute benefits of different components of nondrug reward on daily recovery outcomes.
methods153 adults in recovery from OUD receiving opioid agonist treatment (M age=41.1, SD=9.5; 57 % women; 84 % white) completed daily diaries for three weeks (2067 person-days), answering 7 continuous items about appraisals of nondrug rewards (e.g., meaning, reward, and anticipation). Item responses were used as indicators in a latent profile analysis. Daily latent profiles of nondrug reward were tested for their association with recovery outcomes (quality of life, mood, craving and use) using robust standard errors to adjust for the multilevel data structure.
resultsThe selected model had four latent profiles (% of days): Highly Anticipated-Rewarding (35 %), Moderately Rewarding (31 %), Minimally Rewarding-Unplanned (22 %), and Highly Rewarding-Unplanned profile (12 %). Relative to the Moderately Rewarding profile, Highly Anticipated-Rewarding was associated with greater positive mood and quality of life and lower negative mood and low-arousal moods. People with more days in the Highly Anticipated-Rewarding Profile (vs. Moderately Rewarding) were less likely to use or crave opioids.
conclusionGreater meaning, reward, and anticipation (including planning) across indicators within profiles were associated with the best recovery outcomes. Latent profile analysis applied to intensive longitudinal data offers an innovative methodological approach for simultaneously assessing multiple daily protective factors that together may differentially promote recovery.
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