Trial reportAddictive behaviors2018
Using ecological momentary assessments to predict relapse after adult substance use treatment.
Trial report in Addictive behaviors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Integrating Psychosocial Factors into Artificial Intelligence Models for Predicting Addiction Treatment Outcomes: A Systematic Review.European addiction research · 2026Pooled it
- A randomized clinical trial of smartphone self-managed recovery support services.Journal of substance abuse treatment · 2020Trial
- Digital relapse prevention plan for substance use disorders: study protocol for a multicentre randomised controlled trial.BMJ health & care informatics · 2025Article
- Implementing real-time assessments of substance use cravings, triggers, and mood: a feasibility study with justice-involved populations.Health & justice · 2025Article
- Affect-laden risk profiles derived from two days of EMA predict substance use and quality of life three- and six-months after SUD treatment.Journal of substance use and addiction treatment · 2025Article
- Cognitive control in individuals with heroin use disorder after prolonged methadone maintenance treatment.BMC psychiatry · 2025Article
- Time-varying effect modeling with intensive longitudinal data: Examining dynamic links among craving, affect, self-efficacy and substance use during addiction recovery.Addiction (Abingdon, England) · 2023Article
- Acceptability of Personal Sensing Among People With Alcohol Use Disorder: Observational Study.JMIR mHealth and uHealth · 2023Observational
- Leveraging Mobile Phone Sensors, Machine Learning, and Explainable Artificial Intelligence to Predict Imminent Same-Day Binge-drinking Events to Support Just-in-time Adaptive Interventions: Algorithm Development and Validation Study.JMIR formative research · 2023Article
- College students' momentary stress and prescription drug misuse in daily life: Testing direct links and the moderating roles of global stress and coping.Stress and health : journal of the International Society for the Investigation of Stress · 2023Article
- Examining Within- and Between-Person Facets of Negative Affect and Associations with Daily Craving Among Young Adults in Substance Use Disorder Recovery.Addiction research & theory · 2023Article
- Examining Associations Between Negative Affect and Substance Use in Treatment-Seeking Samples: A Review of Studies Using Intensive Longitudinal Methods.Current addiction reports · 2022Article
- Application of Digital Medicine in Addiction.Journal of Shanghai Jiaotong University (science) · 2022Article
- Processing incomplete questionnaire data into continuous digital biomarkers for addiction monitoring.PloS one · 2022Article
- The Feasibility and Utility of Harnessing Digital Health to Understand Clinical Trajectories in Medication Treatment for Opioid Use Disorder: D-TECT Study Design and Methodological Considerations.Frontiers in psychiatry · 2022Article
- Daily associations among craving, affect, and social interactions in the lives of patients during residential opioid use disorder treatment.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2021Article
- A preliminary examination of the multiple dimensions of opioid craving.Drug and alcohol dependence · 2021Article
- Article
- Effectiveness and Utility of Mobile Device Assessment of Subjective Craving during Residential Opioid Dependence Treatment.Substance use & misuse · 2021Article
- NIATx-TI versus typical product training on e-health technology implementation: a clustered randomized controlled trial study protocol.Implementation science : IS · 2020Article
Corrections and comments
- Reprinted as
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundA key component of relapse prevention is to self-monitor the internal (feelings or cravings) and external (people, places, activities) factors associated with relapse. Smartphones can deliver ecological momentary assessments (EMA) to help individuals self-monitor. The purpose of this exploratory study was to develop a model for predicting an individual's risk of future substance use after each EMA and validate it using a multi-level model controlling for repeated measures on persons.
methodsData are from 21,897 observations from 43 adults following their initial episode of substance use treatment in Chicago from 2015 to 2016. Participants were provided smartphones for six months and asked to complete two to three minute EMAs at five random times per day (81% completion). In any given EMA, 2.7% reported substance use and 8% reported any use in the next five completed EMA. Chi-square Automatic Interaction Detector (CHAID) was used to classify EMAs into six levels of risk and then validated with a hierarchical linear model (HLM).
resultsThe major predictors of substance use in the next five completed EMAs were substance use pattern over the current and prior five EMAs (no recent/current use, either recent or current use [but not both], continued use [both recent and current]), negative affect (feelings), and craving (rating). Negative affect was important for EMAs with no current or recent use reported; craving was important for EMAs with either recent or current use; and neither mattered for EMAs with continued use. The CHAID gradated EMA risk from 0.7% to 36.6% of the next five completed EMAs with substance use reported. It also gradated risk of "any" use in the next five completed EMAs from 3% to 82%.
conclusionsThis study demonstrated the potential of using smartphone-based EMAs to monitor and provide feedback for relapse prevention in future studies.
Indexed as
Identifiers
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.