Drug repurposing for opioid use disorders: integration of computational prediction, clinical corroboration, and mechanism of action analyses

M Zhou, QQ Wang, C Zheng, A John Rush… - Molecular …, 2021 - nature.com
Morbidity and mortality from opioid use disorders (OUD) and other substance use disorders
(SUD) is a major public health crisis, yet there are few medications to treat them. There is an …

[HTML][HTML] IUPHAR review–Data-driven computational drug repurposing approaches for opioid use disorder

Z Gao, P Ding, R Xu - Pharmacological Research, 2024 - Elsevier
Abstract Opioid Use Disorder (OUD) is a chronic and relapsing condition characterized by
the misuse of opioid drugs, causing significant morbidity and mortality in the United States …

Machine-learning repurposing of DrugBank compounds for opioid use disorder

H Feng, J Jiang, GW Wei - Computers in biology and medicine, 2023 - Elsevier
Opioid use disorder (OUD) is a chronic and relapsing condition that involves the continued
and compulsive use of opioids despite harmful consequences. The development of …

[HTML][HTML] Retrospective analysis of health claims to evaluate pharmacotherapies with potential for repurposing: Association of bupropion and stimulant use disorder …

ER Hankosky, HM Bush, LP Dwoskin… - AMIA Annual …, 2018 - ncbi.nlm.nih.gov
Drug repurposing is the identification of novel indication (s) for existing medications. Health
claims data provide a burgeoning resource to evaluate pharmacotherapies with repurposing …

Signature-based approaches for informed drug repurposing: targeting CNS disorders

R Shukla, ND Henkel, K Alganem, A Hamoud… - …, 2021 - nature.com
CNS disorders, and in particular psychiatric illnesses, lack definitive disease-altering
therapeutics. The limited understanding of the mechanisms driving these illnesses with the …

Computational drug repurposing based on electronic health records: a scoping review

N Zong, A Wen, S Moon, S Fu, L Wang, Y Zhao… - NPJ digital …, 2022 - nature.com
Computational drug repurposing methods adapt Artificial intelligence (AI) algorithms for the
discovery of new applications of approved or investigational drugs. Among the …

Individual-level risk prediction of return to use during opioid use disorder treatment

SX Luo, DJ Feaster, Y Liu, RR Balise, MC Hu… - JAMA …, 2024 - jamanetwork.com
Importance No existing model allows clinicians to predict whether patients might return to
opioid use in the early stages of treatment for opioid use disorder. Objective To develop an …

[HTML][HTML] Pharmacogenomics-guided policy in opioid use disorder (OUD) management: an ethnically-diverse case-based approach

EB Ettienne, E Chapman, M Maneno, A Ofoegbu… - Addictive behaviors …, 2017 - Elsevier
Introduction Opioid use disorder (OUD) is characterized by a problematic pattern of opioid
use leading to clinically-significant impairment or distress. Opioid agonist treatment is an …

Repurposing ketamine to treat cocaine use disorder: Integration of artificial intelligence‐based prediction, expert evaluation, clinical corroboration and mechanism of …

Z Gao, TJ Winhusen, M Gorenflo, UE Ghitza… - …, 2023 - Wiley Online Library
Background and aims Cocaine use disorder (CUD) is a significant public health issue for
which there is no Food and Drug Administration (FDA) approved medication. Drug …

A machine learning based two-stage clinical decision support system for predicting patients' discontinuation from opioid use disorder treatment: retrospective …

MM Hasan, GJ Young, J Shi, P Mohite… - BMC Medical Informatics …, 2021 - Springer
Background Buprenorphine is a widely used treatment option for patients with opioid use
disorder (OUD). Premature discontinuation from this treatment has many negative health …