Amy Pennay1, Rebecca Jenkinson2, Brendan Quinn2, Nicolas Tom Droste3, Amy Peacock4,5, Daniel Ian Lubman6,7, Peter G Miller3. 1. a Centre for Alcohol Policy Research , La Trobe University , Bundoora , Australia. 2. b Centre for Population Health , Burnet Institute , Melbourne , Australia. 3. c School of Psychology , Deakin University , Geelong , Australia. 4. d National Drug and Alcohol Research Centre , University of New South Wales , Sydney , Australia. 5. e School of Medicine (Psychology) , University of Tasmania , Hobart , Australia. 6. f Turning Point Alcohol & Drug Centre , Fitzroy , Australia. 7. g Eastern Health Clinical School , Monash University , Melbourne , Australia.
Abstract
BACKGROUND: Understanding the characteristics of drug users in the night-time economy (NTE), and whether particular drugs are associated with risky practices and experience of harm, is necessary to inform targeted policy responses in this context. OBJECTIVES: To investigate the correlates of drugs used in the Australian NTE relating to demographics, alcohol use, and experience of harm. METHODS: Patrons were interviewed in the NTE of five Australian cities in 2012-2013 (n = 7,028; 61.9% male, median age 22 years). A custom designed survey gathered demographic data, alcohol, and substance use on the current night, and experience of harm in/around licensed venues in the past 3 months. Multivariate logistic regression analyses examined the correlates of drug use. RESULTS: Ecstasy was most commonly reported (4.0%), followed by cannabis (2.9%), methamphetamine (2.6%), and cocaine (1.6%). Ecstasy users were more likely to be younger and report energy drink consumption. Cannabis users were more likely to be male, and to have been involved in intoxication-related accidents/injuries and sexual aggression in/around licensed venues in the past 3 months. Methamphetamine users were more likely to have been interviewed later, and to have engaged in pre-drinking. Cocaine users were more likely to be male, aged 21 years or more, have a blood alcohol concentration of greater than 0.10%, and to have been involved in intoxication-related accidents/injuries in the past three months. Conclusions/Importance: We identified significant differences between types of drug users and the harms they experience, underscoring the need to develop innovative harm reduction policies in the NTE rather than blanket population-based approaches.
BACKGROUND: Understanding the characteristics of drug users in the night-time economy (NTE), and whether particular drugs are associated with risky practices and experience of harm, is necessary to inform targeted policy responses in this context. OBJECTIVES: To investigate the correlates of drugs used in the Australian NTE relating to demographics, alcohol use, and experience of harm. METHODS: Patrons were interviewed in the NTE of five Australian cities in 2012-2013 (n = 7,028; 61.9% male, median age 22 years). A custom designed survey gathered demographic data, alcohol, and substance use on the current night, and experience of harm in/around licensed venues in the past 3 months. Multivariate logistic regression analyses examined the correlates of drug use. RESULTS:Ecstasy was most commonly reported (4.0%), followed by cannabis (2.9%), methamphetamine (2.6%), and cocaine (1.6%). Ecstasy users were more likely to be younger and report energy drink consumption. Cannabis users were more likely to be male, and to have been involved in intoxication-related accidents/injuries and sexual aggression in/around licensed venues in the past 3 months. Methamphetamine users were more likely to have been interviewed later, and to have engaged in pre-drinking. Cocaine users were more likely to be male, aged 21 years or more, have a blood alcohol concentration of greater than 0.10%, and to have been involved in intoxication-related accidents/injuries in the past three months. Conclusions/Importance: We identified significant differences between types of drug users and the harms they experience, underscoring the need to develop innovative harm reduction policies in the NTE rather than blanket population-based approaches.