ArticleBiological psychiatry global open science2026
Moving Beyond Self-Report in Characterizing Drug Addiction: Using Drug-Biased Behavior to Predict Treatment Completion and Dropout in Heroin-Primary, Medication-Maintained Opioid Use Disorder.
Article in Biological psychiatry global open science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Peer-guided movie neurofeedback to facilitate recovery in opioid use disorder.medRxiv : the preprint server for health sciences · 2026Article
- Can the incentive-sensitization theory of addiction incorporate addiction to opioid drugs?Psychopharmacology · 2026Review
- Improving Treatment Outcome Prediction Beyond Self-Report: The Role of Drug-Biased Behavioral Measures.Biological psychiatry global open science · 2026Article
- Unhealthy food bias in food addiction: behavioral evidence from a probabilistic image choice task.Journal of eating disorders · 2026Article
- The Impaired Response Inhibition and Salience Attribution Model of Drug Addiction: Recent Neuroimaging Evidence and Future Directions.Annual review of psychology · 2026Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Background: Drug addiction is accompanied by enhanced salience attributed to drug over nondrug cues. This bias can be objectively measured and is reliable but underutilized in informing clinical end points, where self-report measures are most commonly used, with limited success. Methods: We investigated whether behavioral picture choice (laboratory-simulated measure of drug seeking) and verbal fluency (drug and nondrug words generated) revealed drug-biased processing in 59 individuals with opioid use disorder (iOUDs) compared with 29 healthy control (HC) individuals; assessed twice, we also inspected the test-retest reliability of these tools. All iOUDs were heroin primary, abstinent (160.58 ± 188.18 days), and stabilized on medication for OUD at an inpatient treatment facility at baseline. Then, we tested whether, compared with self-report measures, these drug-biased behavioral measures could better predict prospective outcome measures in the iOUDs, i.e., study treatment completion as further validated using dropout from inpatient treatment. Results: Results revealed that the iOUDs exhibited higher drug choice ( Conclusions: This study is the first to demonstrate reliable drug-biased choice and fluency in iOUDs. Compared with traditional self-reported drug-use and craving measures, the objective drug-biased cognitive behavioral measure was a significant predictor of treatment-related outcomes.
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