Abstract
OBJECTIVES: Substance use and pain are both growing public health concerns globally. Evidence suggests that individuals may use substances in order to self-medicate their pain. The Catastrophizing, Anxiety, Negative Urgency, and Expectancy model was developed to provide a theoretical foundation for the modifiable risk factors implicated in self-medication of pain with substance use. This study aimed to use the outcomes in the Catastrophizing, Anxiety, Negative Urgency, and Expectancy model to develop a brief clinical screening tool to identify individuals at risk for self-medication. METHODS: Participants (N = 520; M age = 38.8) were adults who endorsed the past three-month use of at least one substance and completed an online questionnaire. Logistic regression and receiver operator characteristic analyses were used to reduce the initial 104-item questionnaire to the items needed to achieve a minimum accuracy score of 0.95 and 0.90. RESULTS: A 14-item and a 7-item questionnaire were derived from the initial larger questionnaire. Both of these questionnaires were significantly correlated with the outcome variables and were significantly associated with health risk and percent of use because of pain. The R2 values between the 14- and 7-item versions were only significantly different for the percent of alcohol use because of pain. CONCLUSIONS: The study provides two brief screening tools to screen for individuals at risk for self-medication of pain with substance use that can be easily implemented within clinical settings. Further, the screening tools provide insight into modifiable risk factors for self-medication and may also be valuable to monitor treatment response.