Assessing the Potential of Artificial Intelligence in Combating Drug Addiction

Abstract

The current study aims to identify the main areas and emerging trends in the field of artificial intelligence research in field of combating drug addiction. It relies on an accurate and organized scientific methodology to achieve its objectives, as research literature related to artificial intelligence in the field of combating drug addiction was collected from the Science Citation Index Expanded database within the Web of Science Core Collection. The period from 2015 to 2024 witnessed a significant increase in the number of research articles published on the use of artificial intelligence (AI) in combating addiction, reflecting a growing global interest in this field. 31 research studies from several countries were analyzed, with the results showing that the United States of America leads research production with 4.34% (14 research papers), followed by Italy (5 research papers), indicating the significant challenges these countries face in the field of addiction. Countries such as Poland, Canada, India (two research papers each), Iran, Spain, Indonesia, China and Brazil have also begun to increase their focus on developing innovative solutions using AI. The current study identified key focus areas and emerging trends in the use of AI to diagnose and treat drug addiction. The findings suggest that AI will play an increasingly important role in efforts to combat this problem.