JOURNAL ARTICLE

Operationalizing the new DEA exception: A novel process for dispensing of methadone for opioid use disorder at discharge from acute care settings.

  • Published In: American Journal of Health-System Pharmacy, 2024, v. 81, n. 6. P. 204 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Bowman, Lindsay A; Berger, Olivia; Nesbit, Suzanne; Stoller, Kenneth B; Buresh, Megan; Stewart, Rosalyn 3 of 3

Abstract

This article focuses on the implementation of a novel workflow to dispense methadone for opioid use disorder (OUD) at emergency department (ED) and hospital discharge within two urban academic medical centers in Baltimore. Following a Drug Enforcement Administration (DEA) exception allowing hospitals to dispense up to a 72-hour supply of methadone while arranging ongoing treatment, a multidisciplinary workgroup developed a structured process involving medication requests, expert approval, and pharmacy dispensing integrated into the electronic health record system. Early outcomes over three months showed 42 requests with an 86% approval rate and 79 methadone doses dispensed, demonstrating the feasibility of this approach to bridge gaps in methadone access post-discharge. The article highlights ongoing challenges, including regulatory limitations, need for coordination with opioid treatment programs (OTPs), and the importance of coupling methadone dispensing with harm reduction strategies, while noting that further research is needed to assess impacts on patient outcomes and health system utilization.

Additional Information

  • Source:American Journal of Health-System Pharmacy. 2024/03, Vol. 81, Issue 6, p204
  • Document Type:Article
  • Subject Area:Law
  • Publication Date:2024
  • ISSN:1079-2082
  • DOI:10.1093/ajhp/zxad288
  • Accession Number:175938043
  • Copyright Statement:Copyright of American Journal of Health-System Pharmacy is the property of Oxford University Press / USA 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.