Addictive Behaviours and Mental Health Research Sharing Page

This forward thinking piece by our colleagues discusses the use and applications of LLMs and AI for substance use disorder interventions
https://buff.ly/Dmp4pzr

New review found that exposure to cannabis related advertising was associated with cannabis use behaviours and intentions. See paper below.

A systematic review and meta‐analysis of self‐reported exposure to cannabis advertising and its association with cannabis use and intentions https://buff.ly/tp8rjRx

Excited to visit Y Schools Queensland to chat how we can work together to support youth wellbeing, including around cannabis, gaming, and vaping-related harms.

Thank you Prof Jose Menchon in Barcelona for warmly welcoming us and taking the time to meet. It was inspiring to hear more about the impressive Bootstrap project that works with youth on current issues in adolescent health by addressing internet use, digital behaviours, and mental health impacts.

Thank you Prof Yasser Khazaal, University of Lausanne, for your generosity in meeting us in Geneva. Looking forward to collaborating on digital health, women’s video gaming behaviours and impacts, and validating tools to measure addiction and gaming disorder across multiple languages.

Fascinating discussions with Prof Michael Schaub and colleagues at ISGF - Swiss Research Institute for Public Health and Addiction on the emerging impact of generative AI and LLM on addiction research and interventions.

Our new review on CUD scales summarises psychometrics, specificity, and sensitivity of tools across different cut-offs and populations, hoping this would be useful for people incorporting CUD measures in their research.

The psychometric properties of validated tools to assess cannabis use disorder: A systematic review and meta‐analysis Aims To systematically review the evidence on the psychometric performance and accuracy of screening or diagnostic tools for cannabis use disorder. Method Systematic review and meta-analysis which...

Feeling motivated at CHI 2026 conference Barcelona being immersed in latest research and development in computers and human interactions

This paper outlines causal inference methods for analysing observational data in addiction research when randomised trials are not feasible. View the article here: https://buff.ly/8ZH74e1