ArticleAddiction (Abingdon, England)2025
Predictors of substance use during treatment for addiction: A network analysis of ecological momentary assessment data.
Article in Addiction (Abingdon, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Integrating Psychosocial Factors into Artificial Intelligence Models for Predicting Addiction Treatment Outcomes: A Systematic Review.European addiction research · 2026Pooled it
- Joint effects of real-world cue exposure and affective states on momentary alcohol craving in adults with alcohol use disorder.Drug and alcohol dependence reports · 2026Article
- Substance-related intrusive memories in cocaine use disorder are different from but associated with craving.Addiction (Abingdon, England) · 2026Article
- Does treatment status matter? An examination of daily approach and avoidance inclinations predicting drinking in individuals diagnosed with alcohol use disorder.Drug and alcohol dependence · 2026Article
- Identifying Predictors of Gambling Episodes and Craving Using Ecological Momentary Assessment and Smartwatch-Based Physiological Measures: Protocol for a Longitudinal Observational Study.JMIR research protocols · 2026Observational
- Preferences for an Experience Sampling Method-Based Tool as an Adjunct to Usual Treatment in Patients With Problem Substance Use: Qualitative Study.JMIR formative research · 2026Article
- Personalizing ecological momentary intervention for substance use disorders through data-driven decision rules.Frontiers in psychiatry · 2026Review
- Craving as a transdiagnostic marker of addiction? A perspective for behavioral addictions.Frontiers in behavioral neuroscience · 2026Article
- Computational modeling of the temporal influences between cues, craving and use in addiction: a dynamical system analysis based on ecological momentary assessment data.Translational psychiatry · 2025Article
- Sex differences in alcohol and tobacco use in Ugandan adults: A log-linear analysis of interaction patterns.PloS one · 2025Article
- Predictors of substance use during treatment for addiction: A network analysis of ecological momentary assessment data.Addiction (Abingdon, England) · 2025Article
- Commentary on Serre et al. : Demonstrating the next era of addiction science.Addiction (Abingdon, England) · 2025Article
- Craving changes in first 14 days of addiction treatment: an outcome predictor of 5 years substance use status?Translational psychiatry · 2024Article
- Making alcohol and tobacco preventable deaths truly preventable! Addiction as a modifiable risk factor for alcohol and tobacco preventable mortality.Archives of public health = Archives belges de sante publique · 2024Article
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Authors and funding
8 authors.
Funding
Abstract
BACKGROUND AND
aimsEcological momentary assessment (EMA) studies have previously demonstrated a prospective influence of craving on substance use in the following hours. Conceptualizing substance use as a dynamic system of causal elements could provide valuable insights into the interaction of craving with other symptoms in the process of relapse. The aim of this study was to improve the understanding of these daily life dynamic inter-relationships by applying dynamic networks analyses to EMA data sets. DESIGN, SETTING AND
participantsSecondary analyses were conducted on time-series data from two 2-week EMA studies. Data were collected in French outpatient addiction treatment centres. A total of 211 outpatients beginning treatment for alcohol, tobacco, cannabis, stimulants and opiate addiction took part. MEASUREMENTS: Using mobile technologies, participants were questioned four times per day relative to substance use, craving, exposure to cues, mood, self-efficacy and pharmacological addiction treatment use. Multi-level vector auto-regression models were used to explore contemporaneous, temporal and between-subjects networks.
findingsAmong the 8260 daily evaluations, the temporal network model, which depicts the lagged associations of symptoms within participants, demonstrated a unidirectional association between craving intensity at one time (T0) and primary substance use at the next assessment (T1, r = 0.1), after controlling for the effect of all other variables. A greater self-efficacy at T0 was associated with fewer cues (r = -0.04), less craving (r = -0.1) and less substance use at T1 (r = -0.07), and craving presented a negative feedback loop with self-efficacy (r = -0.09).
conclusionsDynamic network analyses showed that, among outpatients beginning treatment for addiction, high craving, together with low self-efficacy, appear to predict substance use more strongly than low mood or high exposure to cues.
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