Resources
7 Results (showing 1 - 7)
Results sorted by posted date (oldest first)
Results sorted by posted date (oldest first)
Posted 12/3/2019 (updated 3/28/2024)
Billing Behavioral Health Medicaid Services Under Managed Care in New York State.
Posted 2/10/2020 (updated 3/28/2024)
The consequences for failing to treat OUD within correctional settings are significant. In addition to risk of overdose, most individuals who receive MAT in the community lose access to treatment upon confinement; studies show these individuals experience extreme stress. Individuals with opioid dependence entering correctional facilities are also at high risk for opioid withdrawal syndrome.
Posted 2/25/2020 (updated 3/28/2024)
A guide to provide the addiction treatment and recovering community with practical information and tools to enhance their capacity to engage in effective stigma reduction efforts.
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 6/2/2020 (updated 3/28/2024)
We know from RCORP grantees, first responders, hospitals, people who use drugs, the media and other allies that many communities are seeing spikes in overdose (OD) events and deaths since the onset of COVID-19. Sometimes these deaths come at alarming levels because of stretched public health infrastructure and the time it takes to turn around data. The webinar took place on May 26, 2020.
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.