Can we use ChatGPT for Mental Health and Substance Use Education? Examining Its Quality and Potential Harms.

Background: The use of generative artificial intelligence, more specifically large language models (LLMs), is proliferating, and as such, it is vital to consider both the value and potential harms of its use in medical education. Their efficiency in a variety of writing styles makes LLMs, such as ChatGPT, attractive for tailoring educational materials. However, this technology can feature biases and misinformation, which can be particularly harmful in medical education settings, such as mental health and substance use education.

Updated systematic review of Australian school-based prevention programmes for alcohol and other drugs: a review protocol.

Introduction: Adolescent onset substance use is associated with neurodevelopmental, social and psychological harms. Thus, alcohol and other drug prevention programmes are essential to promote health and well-being during this period. Schools are uniquely positioned to deliver such prevention programmes.

School-based preventive interventions targeting e-cigarette use among adolescents: a systematic review protocol.

Introduction: Electronic cigarette (e-cigarette) use has drastically increased in recent years, particularly among adolescents. This poses several acute and chronic harms to young people, including poisonings, burns, serious lung injury and-where nicotine e-liquid is used-the potential to impact healthy brain development and precipitate future nicotine addiction. School-based prevention programmes have the potential to address this growing public health concern by reaching large numbers of young people during a critical period for intervention; however, the efficacy of such interventions has not been systematically explored.