Resources
6 Results (showing 1 - 6)
Results sorted by updated date (newest first)
Results sorted by updated date (newest first)
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 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 5/19/2020 (updated 3/28/2024)
In 2016, the United States Congress authorized and appropriated funding to fight the opioid epidemic through the Department of Health and Human Services . Among other initiatives, the Comprehensive Addiction and Recovery Act (CARA) gave the Substance Abuse and Mental Health Services Administration authority and support to implement new grant programs focused on preventing overdose and treating individuals with OUD.
Posted 4/25/2023 (updated 3/27/2024)
This page contains resources to support grantees in collecting, managing and sharing their RCORP data. If you are in need of PIMS data collection guidance, please visit the RCORP Grantee Data Collection Resources (Implementation, MAT Expansion, and NAS) page to access the PIMS Data Collection Resource, checklist, and workbook.
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).