This research was conducted as part of ENGIN-298 at Contra Costa College by Ali Ahmad Siddiqui with the assistance of Dr. Chao Liu from Fall 2022 to Fall 2023. Drug-use is a societal crisis that is in-need of desperate mitigation and alleviation. In this paper, we claim that machine learning algorithms are highly effective in assessing the likelihood for an individual to engage in the use of certain drugs. In particular, we show how machine learning algorithms can be trained using real-world data collected from users who consume a variety of different drugs in order to give insight into the drug-use for unknown individuals.