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Results sorted by updated date (newest first)
Results sorted by updated date (newest first)
Posted 9/30/2020 (updated 3/29/2024)
This page offers background information and tips for providers to keep in mind while using person-first language, as well as terms to avoid to reduce stigma and negative bias when discussing addiction.
Posted 2/10/2020 (updated 3/28/2024)
ONDCP released a new tool to assist rural community leaders in building an effective local response to the crisis of addiction, the Rural Community Action Guide: Building Stronger, Healthy Drug-Free Rural Communities. The Guide also has a companion supplement, a listing of promising practices, included.
Posted 7/3/2023 (updated 3/28/2024)
The Bureau of Justice Assistance and the National Institute of Corrections published the Guidelines for Managing Substance Withdrawal in Jails: A Tool for Local Government Officials, Jail Administrators, Correctional Officers, and Health Care Professionals to help increase access to evidence-based treatment for individuals with SUD and those who are at risk for overdose. There is a high prevalence of SUD among individuals who are incarcerated. Withdrawal while incarcerated is less discussed, but still poses a risk for individuals. The guidelines were created to help jail administrators protect the health and rights of people incarcerated.
Posted 12/13/2022 (updated 3/27/2024)
The guide on People First Language can help when using respectful language and referring to people with disabilities, as enacted by the District of Columba on July 11, 2006. “People First Language” (PFL) puts the person before the disability, and describes what a person has, not who a person is.
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.