The American Society of Addiction Medicine (ASAM) and OpenEvidence have announced a collaboration to integrate evidence-based addiction medicine guidelines and clinical resources into OpenEvidence's AI-powered platform for healthcare professionals.
The partnership will enable clinicians using OpenEvidence to access ASAM's clinical practice guidelines, treatment recommendations, and implementation resources directly within their existing workflows. Relevant guidance will appear automatically when appropriate to a clinical query, alongside peer-reviewed medical literature, supporting citations, and links to original sources.
The initiative aims to improve access to standardized clinical information for healthcare professionals treating patients with substance use disorders (SUD) and behavioral addictions, particularly when making treatment decisions at the point of care.
According to figures cited by the organizations, approximately 44.6 million Americans experienced a substance use disorder during 2025, highlighting the need for accessible clinical resources supporting prevention, diagnosis, treatment, and long-term recovery.
“ASAM’s clinical practice guidelines aim to equip clinicians with high-quality, science-based guidance to support the care of patients with addiction and facilitate a path to long-term health and recovery,” said Stephen M. Taylor, MD, MPH, president of ASAM.
“Through this collaboration, we hope to make ASAM’s evidence-based treatment guidance more accessible to all healthcare professionals who may provide care for patients with addiction.”
Founded in 1954, ASAM represents more than 8,000 physicians, clinicians, and associated professionals specializing in addiction medicine. Its activities include developing clinical guidance, supporting research and prevention initiatives, and advancing education for healthcare professionals.
OpenEvidence provides an AI-based clinical information platform that enables verified healthcare professionals to retrieve medical evidence and research relevant to patient care. The company reports that millions of U.S. healthcare professionals use its platform, which is available free of charge to verified U.S. clinicians.
The integration is intended to make specialist addiction medicine guidance more readily available to clinicians across different healthcare settings, including those without dedicated addiction medicine expertise.
The collaboration reflects broader efforts to incorporate professional medical society guidelines into AI-supported clinical information systems, potentially improving access to evidence-based recommendations during routine patient care.
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