Systematically collected information used to understand patterns of substance use, substance use disorders, treatment needs, and drug market dynamics. This may include epidemiological data, service utilisation records, treatment outcomes, law enforcement intelligence, and public health surveillance. Data helps identify emerging trends, assess the effectiveness of prevention and treatment programmes, monitor trafficking and market activity, and guide evidence-informed policy and decision-making. Reliable data systems are essential for improving responses to substance use and ensuring that interventions are targeted, effective, and responsive to population needs.
Data
International Narcotics Control Board
URL to Data Source
Joint United Nations Programme on HIV/AIDS
URL to Data Source
World Health Organization
URL to Data Source
CCENDU Issue 7 (Part 2): Stimulant Use and Related Harms in Canada — Drivers and Adaptive Responses
This issue is the second of a special two-part series. Part 2 examines key factors driving stimulant use, what these trends mean for different groups of people and the responses being implemented to reduce harms. Three key points of...
CCENDU Issue 7 (Part 1): Stimulant Use and Related Harms in Canada - Recent Trends
This issue is a special two-part series. The first part features a regional breakdown of reports from seven Canadian Community Epidemiology Network on Drug Use (CCENDU) nodes and five drug checking services from across the country. It...
The rising burden of drug use disorders in the Americas, 2000–2021
ABSRACT Objectives Drug use disorders – preventable and treatable conditions – are a challenging and growing public health threat in the Region of the Americas. This study aims to provide a comprehensive analysis of the levels and trends of...
51st Annual Symposium of the Kettil Bruun Society (KBS) for Social and Epidemiological Research on Alcohol
The Kettil Bruun Society’s 51st Symposium: Kaunas, Lithuania, 1-5 June 2026
The 51st KBS Symposium is hosted by Vytautas Magnus University (VMU) in collaboration with the Lithuanian University of Health Sciences, Kaunas IN, and the Kaunas City.
Artificial Intelligence in Substance Use Prevention, Treatment, and Recovery Support: Selected Readings and Practical Insights
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...
Artificial Intelligence in Addiction: Challenges and Opportunities
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...