Internet Search for Illicit Drugs in Italy: Infodemiological Analysis of Six Years of Research

2is study explores the potential of Internet search data from Google Trends and Wikipedia as innovative tools for monitoring public interest and behavior related to illicit drug information. Employing a cross-sectional study design, this research investigates the correlations between search patterns on these platforms and provides insights into public health monitoring. Our analysis indicates signi9cant correlations between searches for various illicit drugs, with correlation coe:cients ranging from 0.71 to 0.83, suggesting that these searches can not only re>ect but also potentially predict public interest and shifts in drug use patterns. 2is approach highlights speci9c periods and demographics showing increased interest in drugs, thereby allowing for targeted public health interventions. 2e study found that searches related to drugs like cannabis, cocaine, and opioids are not only frequent but also show a tendency to be conducted in tandem, possibly due to synergistic e?ects. Moreover, the data underscore the importance of providing timely and accurate information to the public through authoritative online sources. With the vast reach of the Internet, ensuring that institutional websites and social networks o?er correct information becomes crucial to prevent the spread of misinformation. 2is study supports Internet-based data as a complementary tool to traditional drug monitoring systems, which can enhance public health response capabilities by providing real-time, nonintrusive insights. 2is research advocates for integrating big data analytics into public health strategy, emphasizing the role of Internet searches in shaping public health policies and practices. 2e 9ndings suggest that properly leveraged, Internet search data could greatly assist in the precision and effectiveness of public health interventions and preparedness.