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
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.
Authors
- Greg Kronberg (ORCID: https://orcid.org/0000-0001-6765-3864)
- Eric L. Garland (ORCID: https://orcid.org/0000-0003-2891-857X)
- Kim Drury (ORCID: https://orcid.org/0009-0003-3441-9213)
- Natalie McClain (ORCID: https://orcid.org/0009-0004-4828-5014)
- Rita Z. Goldstein (ORCID: https://orcid.org/0000-0002-1680-229X)
- Ahmet O. Ceceli (ORCID: https://orcid.org/0000-0002-4897-3990)
- Nelly Alia‐Klein (ORCID: https://orcid.org/0000-0003-1876-8133)
Institutions
- Sanford Burnham Prebys Medical Discovery Institute (US)
- University of California San Diego (US)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Biological Psychiatry Global Open Science
- Published
- 2025-12-09
- DOI
- https://doi.org/10.1016/j.bpsgos.2025.100667
- Primary Topic
- Substance Abuse Treatment and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00