Resources
6 Results (showing 1 - 6)
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 12/23/2020 (updated 4/4/2024)
This toolkit is designed primarily for substance use and child welfare practitioners, as well as other service providers and health system planners who offer services to, or design services with, pregnant women and new mothers who use substances. Much is changing in the substance use and child welfare fields to bring forth approaches that are culturally safe, trauma informed, harm reduction-oriented and participant-driven. This toolkit highlights these advances and invites people working in both systems to think about how we can continue to improve our work, in partnership with the women who use these services.
Posted 10/7/2020 (updated 3/29/2024)
This toolkit contains clinical materials targeting treatment of substance use disorder in the acute care setting.
Posted 11/27/2019 (updated 3/28/2024)
Sample plan for workforce development
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.
Posted 4/12/2022 (updated 3/27/2024)
OMNI Institute, in partnership with the JBS RCORP-TA team, had five sessions of the Data Learning Collaborative (LC).