Reading List

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 study examines whether artificial intelligence can reliably predict the use of specific substances in Finland, including cannabis, ecstasy, amphetamine, cocaine and non-prescribed medicines. Using data from the 2022 Finnish National...

Abstract Background: Recovery capital theory provides a biopsychosocial framework for identifying and measuring strengths and barriers that can be targeted to support recovery from alcohol and drug addiction. This systematic review analyzed...

As we celebrate International Nurses Week, we honour the dedication, expertise, and compassion of nurses around the globe—especially those working on the frontlines of substance use prevention, treatment, and recovery support. Addiction nurses play a crucial role not only in clinical care but also in education, advocacy, and research.

Evidence-based practice (EBP) serves as the foundation for effective prevention strategies, ensuring interventions, programmes, and policies are grounded in the best available scientific knowledge. This guide presents a curated collection...

Stimulants are a class of drugs that act on the central nervous system, increasing alertness, energy, and attention while elevating mood. They achieve these effects by enhancing the activity of neurotransmitters such as dopamine and...

Cannabis use may increase the risk of myocardial infarction and stroke independent of tobacco use, according to recent findings in the Journal of the American Heart Association. Compared with non-users, daily cannabis consumers had 25%...

Introduction: As people increasingly migrate to online shopping platforms, hard-won improvements in requirements for consumer information provision at the point of sale are being eroded. An example is the alcohol pregnancy warning label for...