Treatment Settings

ISSUP Tanzania presents its webinar titled 'Healthy Holiday Choices: Substance Prevention for Youth'.

Artificial intelligence (AI) is transforming how we understand and manage substance use disorders (SUDs). The following curated readings highlight current developments, practical applications, and ethical considerations for AI in this field...

The article explores how artificial intelligence (AI) is currently used — and could be used — in the field of addiction research and treatment. The authors note that AI (machine learning, data mining, predictive analytics) offers...

AGENDA 2025 FDA Perspective: Generative Artificial Intelligence-Enabled (GenAI) Digital Mental Health Medical Devices FDA Perspective: Regulatory Considerations for Digital Mental Health Therapeutics Topic 1: Large Language Models in...

Introduction Addiction medicine is becoming more of an issue as addiction-related problems continue to plague people all over the globe, resulting in serious health consequences. Addiction has become increasingly prevalent in recent years...

Purpose of the Review: Psychotherapy remains a fundamental component of mental health treatment, yet it encounters significant barriers to accessibility and efficacy. The integration of digital therapies, encompassing e-Health, m-Health...

Addictive substances are prevalent world-wide, and their use presents a substantial and persistent public health problem. A wide range of digital interventions to decrease use and negative consequences thereof have been explored, differing...

Objectives: This study systematically reviewed research on the utilization of chatbot-related technologies for the prevention, assessment, and treatment of various substance uses, including alcohol, nicotine, and other drugs. Methods...

The article reports on an NIH-supported clinical trial showing that an artificial intelligence (AI)–based screening tool for opioid use disorder (OUD) can improve hospital outcomes without reducing quality of care. Embedded in the...