Behavioral pharmacology of methocinnamox: A potential new treatment for opioid overdose and opioid use disorder.
Published In: Journal of the Experimental Analysis of Behavior, 2023, v. 119, n. 2. P. 392 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Maguire, David R.; France, Charles P. 3 of 3
Abstract
Opioid overdose and opioid use disorder continue to be significant public health challenges despite the availability of effective medications and significant efforts at all levels of society. The emergence of highly potent and efficacious opioids such as fentanyl and its derivatives over the last decade has only exacerbated what was already a substantial problem. Behavioral pharmacology research has proven invaluable for understanding the effects of drugs as well as developing and evaluating pharmacotherapies for disorders involving the central nervous system, including substance abuse disorders. This paper describes a program of research characterizing a potent, selective, and long‐lasting mu opioid receptor antagonist, methocinnamox, and evaluating its potential for treating opioid overdose and opioid use disorder. Studies in rodents and nonhuman primates demonstrate that methocinnamox prevents and reverses opioid‐induced ventilatory depression and selectively blocks opioid self‐administration. This work, taken together with rigorous in vitro and ex vivo studies investigating methocinnamox neuropharmacology, lays a solid foundation for the therapeutic utility of this potentially life‐saving medication. Moreover, these studies demonstrate how rigorous behavioral pharmacological studies can be integrated in a broader drug discovery and development research program. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of the Experimental Analysis of Behavior. 2023/03, Vol. 119, Issue 2, p392
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2023
- ISSN:0022-5002
- DOI:10.1002/jeab.831
- Accession Number:162509325
- Copyright Statement:Copyright of Journal of the Experimental Analysis of Behavior is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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