This study looks to explore the feasibility, sensitivity, validity, and specificity of a Remote Wireless Sensor Network (RWSN) approach to the detection of cocaine use/intoxication in the inpatient human laboratory, as well as in the outpatient setting ("real world"). Lastly, we look to design an algorithm for reliably detecting cocaine use in real-world settings and inference techniques for understanding the relationship between cocaine use and user contexts.