Mobile App to Address CUD Among Black Adults

The present study aims to address disparities in cannabis use outcomes among African American/Black (hereby referred to as Black) adults with cannabis use disorder (CUD). African American/Black adults are more likely to endorse cannabis use patterns that are more severe (weekly and blunt use) and meet diagnostic criteria for cannabis use disorder (CUD) than White adults (16.8% vs 10.0%). This finding is alarming as cannabis use disorder is associated with more severe psychosocial risk profiles, including poly-substance use, psychiatric problems, and legal trouble relative to non-CUD use and non-use. Additionally, although Black cannabis users are more likely to report being ready to quit and a recent quit attempt relative to White cannabis users, this population is less likely to seek in-person treatment relative to White cannabis users because of individual (e.g., beliefs about use), community (e.g., neighborhood attitudes about use), and institutional (e.g., healthcare access) factors as well as due to institutionalized racism and discrimination (e.g., more likely to not be listened to by practitioners). Targeted, accessible, and culturally adapted therapeutic programming is needed to reduce risk and improve disparities for poor cannabis-related outcomes among Black adults with cannabis use disorder. These findings are significant because they contribute to heath, social, and psychological health disparities within the Black community. Psycho-sociocultural models of substance use posit that Black individuals may use cannabis and continue using despite cannabis-related problems including cannabis use disorder, to manage psychological distress associated with stressors associated with minority status, such as racial discrimination. Therefore, the present study seeks to develop a culturally adapted, mobile app tailored specifically for Black cannabis users (CT-MICART). Using the expert opinion and feedback from the community Research Advisory Board (CRAB), the investigative team will pilot test CT-MICART and focus on analysis of data collected to help achieve a better culturally tailored app.