Resources
8 Results (showing 1 - 8)
Results sorted by updated date (newest first)
Results sorted by updated date (newest first)
Posted 5/17/2021 (updated 4/10/2024)
Medication-assisted treatment (MAT) is the use of medications, combined with counseling, to treat substance use disorders. Research has proven the effectiveness of MAT and addiction treatment experts endorse it, but a variety of barriers have prevented the widespread use of MAT. These include a lack of financing for medication, insufficient organizational infrastructure to deliver medication, state and county funding and regulatory obstacles, physician training and certification, staff and client resistance, and community attitudes.
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 12/3/2019 (updated 3/28/2024)
Billing Behavioral Health Medicaid Services Under Managed Care in New York State.
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 5/11/2020 (updated 3/28/2024)
This fact sheet describes changes to Oregon Health Authority (OHA) reimbursement for Medication-Assisted Treatment drugs administered to fee-for-service Oregon Health Plan members, effective January 1, 2019.
Posted 5/11/2020 (updated 3/28/2024)
Medication assisted treatment (MAT) will be offered to patients who have a current diagnosis of opioid use disorder (OUD), moderate to severe, and who meet predetermined criteria.
Posted 11/19/2019 (updated 3/28/2024)
This guidance document is intended to support the development of comprehensive prevention. Work Plans that are based on local data and designed to achieve measurable outcomes.
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.