Resources
6 Results (showing 1 - 6)
Results sorted by updated date (newest first)
Results sorted by updated date (newest first)
Posted 10/21/2020 (updated 4/3/2024)
This study sought to identify best practices for retaining individuals in treatment and for achieving continuity of care between settings.
Posted 6/26/2020 (updated 3/28/2024)
This report presents information about Medicaid coverage of medication-assisted treatment for opioid and alcohol dependence. It covers treatment effectiveness and cost effectiveness. The report also offers examples of innovative approaches in Vermont, Massachusetts, and Maryland.
Posted 11/21/2019 (updated 3/28/2024)
This report is designed to help drug court practitioners understand medication assisted treatment (MAT) for opioid addiction and to provide strategies for incorporating MAT into their practice.
Posted 5/26/2023 (updated 3/27/2024)
Providers Clinical Support System (PCSS), a Substance Abuse and Mental Health Services Administration-funded grant initiative, announced the release of Practice-Based Guidelines: Buprenorphine in the Age of Fentanyl. The guide gives practitioners a blueprint on treating fentanyl use disorder based on available research combined with emerging clinical experience on the use of buprenorphine in the treatment of individuals using fentanyl and other highly potent synthetic opioids.
Posted 11/14/2022 (updated 3/27/2024)
In their new 2022 Clinical Practice Guideline, the Centers for Disease Control and Prevention (CDC) provides updated evidence and research on the risks and benefits of prescription opioids for acute, subacute, and chronic pain. These include dosing strategies, tapering and discontinuation, comparisons with nonopioid pain treatments, and risk mitigation strategies.
Posted 11/11/2022 (updated 3/27/2024)
OMNI Institute, in partnership with the JBS RCORP-TA team, created the 2022-2023 RCORP-TA Data Learning Collaborative (LC) for grantees to come together and share knowledge, talk through challenges, and build relationships with one another. This LC will build upon the foundation established in the prior 2022 RCORP-TA Data Learning Collaborative.