AI-Enabled Prescribing in Opioid Use Disorder Care: Decision Support, Risk Scores, Large Language Model Copilots, and Digital Therapeutics (2024-2025).
- DOI
- 10.1159/ear/acrag006
- Published
- 2026 Sep 18
- Container
- European addiction research
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1159/ear/acrag006,
title = {AI-Enabled Prescribing in Opioid Use Disorder Care: Decision Support, Risk Scores, Large Language Model Copilots, and Digital Therapeutics (2024-2025).},
author = {Zack M and Skryabin V},
year = {2026},
journal = {European addiction research},
doi = {10.1159/ear/acrag006},
url = {https://doi.org/10.1159/ear/acrag006}
}RIS
TY - JOUR TI - AI-Enabled Prescribing in Opioid Use Disorder Care: Decision Support, Risk Scores, Large Language Model Copilots, and Digital Therapeutics (2024-2025). AU - Zack M AU - Skryabin V PY - 2026 JO - European addiction research DO - 10.1159/ear/acrag006 UR - https://doi.org/10.1159/ear/acrag006 ER -
APA
M, Z., & V, S. (2026). AI-Enabled Prescribing in Opioid Use Disorder Care: Decision Support, Risk Scores, Large Language Model Copilots, and Digital Therapeutics (2024-2025).. European addiction research. https://doi.org/10.1159/ear/acrag006
Source records
- pubmed · retrieved 2026-09-25T06:03:02.453Z