Is Addiction Research Addicted to Artificial Intelligence? Mapping the Intersection of Artificial Intelligence, Substance Use and Mental Health Through a Bibliometric Analysis.

ABSTRACT:

Issues

From extracting insights from large-scale, multimodal data to prevention and support, there is growing interest in the applications and implications of recent advances in Artificial Intelligence (AI) within the fields of addiction, substance use and mental health, which we refer to as ASUM. However, due to the absence of a structured mapping of AI for ASUM, it remains unclear how this interest is translated into concrete research results.

Approach

This paper addresses this gap by conducting a bibliometric analysis of AI for ASUM, exploring: (i) the scale of ASUM-related research (number of publications, authors, institutions and countries); (ii) the evolution of ASUM's research productivity over time, both in absolute terms and relative to its parent disciplines; (iii

SUBMITTER: Vanhee L 

PROVIDER: S-EPMC12689282 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature