Resources
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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 2/4/2020 (updated 3/28/2024)
How States are Responding to the Opioid Crisis: An Overview Webinar Presentation and Materials
Posted 1/24/2020 (updated 3/28/2024)
This website provides educational resources to help prevent the misuse of prescription medications and is provided through a partnership between The Ohio State University College of Pharmacy and the Cardinal Health Foundation.
Posted 12/3/2019 (updated 3/28/2024)
SBIRT is an integrated, public health approach to the delivery of early intervention and treatment services for persons with substance use disorders and those at risk of developing these disorders.
Posted 7/28/2020 (updated 3/28/2024)
Brandeis University’s Institute for Behavioral Health Opioid Policy Research Collaborative launched the Brandeis Opioid Resource Connector (BORC) website, a comprehensive online resource for communities and local leaders addressing the opioid crisis.
Posted 6/2/2023 (updated 3/27/2024)
Blueprints Programs website houses a repository of evidence-based primary prevention programs and resources. You can search for programs that fit the issue you are addressing, the audience you seek to help, as well as the delivery venue.
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.