Janet Kim1, Marilyn E Coors1, Susan E Young1, Kristen M Raymond1, Christian J Hopfer1, Tamara L Wall2, Robin P Corley3, Sandra A Brown2, Joseph T Sakai4. 1. University of Colorado School of Medicine, 13001 E 17(th)Place, Aurora, CO, 80045-2559 United States. 2. University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0001 United States. 3. University of Colorado, Boulder, I.B.G. 447 UCB, 1480 30th St, Boulder CO, 80309-0447 United States. 4. University of Colorado School of Medicine, 13001 E 17(th)Place, Aurora, CO, 80045-2559 United States. Electronic address: joseph.sakai@ucdenver.edu.
Abstract
OBJECTIVE: To examine if a substance use disorder (SUD), especially cannabis use disorder in adolescence, predicts future medical cannabis card status among high-risk youth. METHODS: Data collection occurred in Denver and San Diego. We recruited adolescents, with or at high risk for SUD and conduct problems (hereafter probands) and their siblings (n=654). Baseline (Wave 1) assessments took place between 1999 and 2008, and follow-up (Wave 2) took place between 2010 and 2013. In initial bivariate analyses, we examined whether baseline DSM-IV cannabis abuse/dependence (along with other potential predictors) was associated with possessing a medical cannabis card in young adulthood (Wave 2). Significant predictors were then included in a multiple binomial regression. Self-reported general physical health was also evaluated at both time points. Finally, within Wave 2, we tested whether card status was associated with concurrent substance dependence. RESULTS: About 16% of the sample self-reported having a medical cannabis card at follow-up. Though bivariate analyses demonstrated that multiple predictors were significantly associated with Wave 2 card status, in our multiple binomial regression only cannabis abuse/dependence and male sex remained significant. At Wave 2, those with a medical cannabis card were significantly more likely to endorse criteria for concurrent cannabis dependence. There was no significant difference in self-reported general physical health. CONCLUSIONS: Cannabis abuse/dependence and male sex positively predicted future medical cannabis card holder status among a sample of high risk adolescents. Physicians conducting evaluations for medical cannabis cards should carefully evaluate and consider past and concurrent cannabis addiction.
OBJECTIVE: To examine if a substance use disorder (SUD), especially cannabis use disorder in adolescence, predicts future medical cannabis card status among high-risk youth. METHODS: Data collection occurred in Denver and San Diego. We recruited adolescents, with or at high risk for SUD and conduct problems (hereafter probands) and their siblings (n=654). Baseline (Wave 1) assessments took place between 1999 and 2008, and follow-up (Wave 2) took place between 2010 and 2013. In initial bivariate analyses, we examined whether baseline DSM-IV cannabis abuse/dependence (along with other potential predictors) was associated with possessing a medical cannabis card in young adulthood (Wave 2). Significant predictors were then included in a multiple binomial regression. Self-reported general physical health was also evaluated at both time points. Finally, within Wave 2, we tested whether card status was associated with concurrent substance dependence. RESULTS: About 16% of the sample self-reported having a medical cannabis card at follow-up. Though bivariate analyses demonstrated that multiple predictors were significantly associated with Wave 2 card status, in our multiple binomial regression only cannabis abuse/dependence and male sex remained significant. At Wave 2, those with a medical cannabis card were significantly more likely to endorse criteria for concurrent cannabis dependence. There was no significant difference in self-reported general physical health. CONCLUSIONS:Cannabis abuse/dependence and male sex positively predicted future medical cannabis card holder status among a sample of high risk adolescents. Physicians conducting evaluations for medical cannabis cards should carefully evaluate and consider past and concurrent cannabis addiction.
Authors: Jaime Derringer; Robin P Corley; Brett C Haberstick; Susan E Young; Brittany A Demmitt; Daniel P Howrigan; Robert M Kirkpatrick; William G Iacono; Matt McGue; Matthew C Keller; Sandra Brown; Susan Tapert; Christian J Hopfer; Michael C Stallings; Thomas J Crowley; Soo Hyun Rhee; Ken Krauter; John K Hewitt; Matthew B McQueen Journal: Behav Genet Date: 2015-01-31 Impact factor: 2.805
Authors: Catherine A Dennen; Kenneth Blum; Abdalla Bowirrat; Jag Khalsa; Panayotis K Thanos; David Baron; Rajendra D Badgaiyan; Ashim Gupta; Eric R Braverman; Mark S Gold Journal: Epigenomes Date: 2022-08-26