| Title: |
The Management of Substance Use Disorders: Synopsis of the 2021 U.S. Department of Veterans Affairs and U.S. Department of Defense Clinical Practice Guideline. |
| Authors: |
Perry, Christopher; Liberto, Joseph; Milliken, Charles; Burden, Jennifer; Hagedorn, Hildi; Atkinson, Timothy; McKay, James R.; Mooney, Larissa; Sall, James; Sasson, Comilla; Saxon, Andrew; Spevak, Christopher; Gordon, Adam J.; Redden, Renee; Coller, Rachael; Stack, Kathleen; Taylor, Christopher; Murphy, Fran; Smirniotopoulos, Jim; VA/DoD Guideline Development Group* |
| Source: |
Annals of Internal Medicine; May2022, Vol. 175 Issue 5, p720-731, 12p, 2 Diagrams, 5 Charts, 1 Graph |
| Abstract: |
Description: In August 2021, leadership within the U.S. Department of Veterans Affairs (VA) and U.S. Department of Defense (DoD) approved a joint clinical practice guideline (CPG) for the management of substance use disorders (SUDs). This synopsis summarizes key recommendations.Methods: In March 2020, the VA/DoD Evidence-Based Practice Work Group assembled a team to update the 2015 VA/DoD Clinical Practice Guideline for the Management of Substance Use Disorders that included clinical stakeholders and conformed to the National Academy of Medicine's tenets for trustworthy CPGs. The guideline panel developed key questions, systematically searched and evaluated the literature, created two 1-page algorithms, and distilled 35 recommendations for care using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) system. This synopsis presents the recommendations that were believed to be the most clinically impactful.Recommendations: The scope of the CPG is broad; however, this synopsis focuses on key recommendations for the management of alcohol use disorder, use of buprenorphine in opioid use disorder, contingency management, and use of technology and telehealth to manage patients remotely. [ABSTRACT FROM AUTHOR] |
| : |
Copyright of Annals of Internal Medicine is the property of American College of Physicians 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.) |
| Database: |
Complementary Index |