Researchers from Shanghai University of Sport, Fudan University, and the Shanghai Institute for Doping Analysis have developed Fentanyl-Hunter, a machine learning platform to screen for fentanyl metabolites in biological and environmental samples. The tool identified 27 previously unknown metabolites in human liver cell cultures and multiple opioid biomarkers across over 250 global samples. Given the rise in fentanyl abuse accounting for approximately 75,000 US deaths in 2023, this platform aids in detecting evolving fentanyl derivatives designed to evade current regulatory measures, facilitating improved drug abuse surveillance and forensic toxicology.