Project Type(s):
Clinical Research

Post-traumatic stress disorder (PTSD) and substance use often go hand in hand, with many people using substances like cannabis to manage their symptoms. This concept, known as the self-medication hypothesis, suggests that people might use cannabis differently depending on the nature of their symptoms. Symptoms are classically split into domains – hyperarousal, emotional numbing, re-experiencing, and avoidance. However, it remains unclear whether different patterns of cannabis use might correspond to specific symptom domains, which could reveal distinct clinical phenotypes of PTSD.

By analyzing data from the PREDICT clinical trial, this study will apply advanced statistical methods to identify unobservable (“latent”) factors that characterize cannabis use in individuals with PTSD and examine their relationship with symptom presentation. In statistics and psychometrics, latent refers to a variable that cannot be directly observed—such as internal motivations, behavioral tendencies, or physiological dependence—but which can be inferred from patterns in observed data (e.g., questionnaire responses). These patterns could offer insights into subgroups of people with PTSD who experience different symptom profiles, also known as phenotypes, and may respond to treatments in unique ways. Ultimately, this research could contribute to more personalized, targeted interventions for individuals living with PTSD.

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