Substance Use Tools & Resources
This collection of tools and resources is for providers, staff, and patients who offer or use services to address substance use, and other interested stakeholders. This collection was originally established following an environmental scan on implementing medication-assisted treatment (MAT) for opioid use disorder (OUD) in rural primary care. (See PDFs of Volume 1 [PDF 0.69 MB] and Volume 2 [PDF 1.28 MB] of that scan). Items have been continuously added to this collection since then, and the collection has expanded to cover substance use more broadly, rather than just MAT for OUD.
Vital Signs: Drug Overdose Deaths, by Selected Sociodemographic and Social Determinants of Health Characteristics — 25 States and the District of Columbia, 2019-2020
Advisory: Comprehensive Case Management for Substance Use Disorder Treatment
This Advisory is based on TIP 27, Comprehensive Case Management for Substance Abuse Treatment. It surveys the underlying principles and models of case management, discusses reasons substance use disorder (SUD) treatment providers might consider implementing or expanding the use of case management, and lists some case management-related resources and tools.
Advisory: Screening and Treatment of Substance Use Disorders among Adolescents
Advisory: Substance Use Disorder Treatment for People with Co-Occurring Disorders
This Advisory is based on the SAMHSA's Treatment Improvement Protocol (TIP) 42, Substance Use Disorder Treatment for People With Co-Occurring Disorders. It highlights strategies for counselors and administrators to properly screen, assess, diagnose, and manage the treatment of individuals with CODs.
Artificial Intelligence-Enhanced Screening, Brief Intervention & Referral to Treatment (SBIRT): Using the Brief Negotiation Interview (BNI) Across Diverse Populations
These are conference proceedings from the Technology, Mind, and Society 2021 symposium, which addressed various technology-enabled SBIRT to treatment approaches, focusing specifically on efforts at incorporating artificial intelligence (e.g., machine learning, natural language processing) in this work.