ArticleJournal of substance use and addiction treatment2023
Using ecological momentary assessments of negative affect and craving during residential opioid use disorder treatment to predict patients' relapse to substance use.
Article in Journal of substance use and addiction treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed, 7 citations in OpenAlex.
- The effects of dynamic recovery identity on lapse risk and the role of daily recovery meetings.The International journal on drug policy · 2025Article
- Nonpharmacological and pharmacological influences on opioid effects: A review of clinical research findings.The Journal of pharmacology and experimental therapeutics · 2025Review
- Associations of emotional experience with gaming duration and risk of gaming disorder among adolescent gamers: An ecological momentary assessment study.Addiction (Abingdon, England) · 2025Article
- Contemporaneous Link Between Pain and Craving in Patients Recovering from Prescription Opioid Use Disorder During Residential Treatment.Substance use & misuse · 2025Article
- Predictors of substance use during treatment for addiction: A network analysis of ecological momentary assessment data.Addiction (Abingdon, England) · 2025Article
- Time-Related Considerations for Modeling Event-Based Data Collected via Ecological Momentary Assessment.Advances in methods and practices in psychological scienceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundNegative affect (NA) and craving are often independently examined as precipitators of relapse among individuals with substance use disorders, including opioid use disorder (OUD). Recent ecological momentary assessment (EMA) research has revealed that NA and craving frequently co-occur within individuals. Yet we know little about the general patterns of, and variability in, within-person associations between NA and craving, as well as whether the nature and degree of within-person NA-craving coupling predicts post-treatment time-to-relapse.
methodsSeventy-three patients (77 % male, M
resultsAmong the 61 participants with time-to-relapse data, those with stronger positive within-person NA-craving coupling on average during residential OUD treatment had a lower hazard of relapsing (slower time to relapse) post-treatment than participants with weaker NA-craving slopes. The significant association held after controlling for interindividual differences in age, sex, and average levels of NA and craving intensity. Average NA and craving intensity did not moderate the association between NA-craving coupling and time-to-relapse.
conclusionsInterindividual differences in average within-person, day-level NA-craving coupling during residential treatment predict OUD patients' post-treatment time-to-relapse.
Indexed as
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What OpenQuestion holds
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.