Literature DB >> 25220360

'Wide-awake drunkenness'? Investigating the association between alcohol intoxication and stimulant use in the night-time economy.

Amy Pennay1, Peter Miller, Lucy Busija, Rebecca Jenkinson, Nicolas Droste, Brendan Quinn, Sandra C Jones, Dan I Lubman.   

Abstract

AIMS: We tested whether patrons of the night-time economy who had co-consumed energy drinks or illicit stimulants with alcohol had higher blood alcohol concentration (BAC) levels than patrons who had consumed only alcohol.
DESIGN: Street intercept surveys (n = 4227) were undertaken between 9 p.m. and 5 a.m. over a period of 7 months.
SETTING: Interviews were undertaken with patrons walking through entertainment precincts, queuing to enter venues or exiting venues in five Australian cities. PARTICIPANTS: The response rate was 92.1%; more than half the study sample was male (60.2%) and the median age was 23 years (range 18-72). MEASUREMENTS: Data were collected on demographics, length of drinking session, venue types visited, types and quantity of alcohol consumed and other substance use. A BAC reading was recorded and a subsample of participants was tested for other drug use.
FINDINGS: Compared with the total sample (0.068%), illicit stimulant consumers (0.080%; P = 0.004) and energy drink consumers (0.074%; P < 0.001) had a significantly higher median BAC reading, and were more likely to engage in pre-drinking (65.6, 82.1 and 77.6%, respectively, P < 0.001) and longer drinking sessions (4, 5 and 4.5 hours, respectively, P < 0.001). However, stimulant use was not associated independently with higher BAC in the final multivariable model (illicit stimulants P = 0.198; energy drinks P = 0.112). Interaction analyses showed that stimulant users had a higher BAC in the initial stages of the drinking session, but not after 4-6 hours.
CONCLUSIONS: While stimulant use does not predict BAC in and of itself, stimulants users are more likely to engage in prolonged sessions of heavy alcohol consumption and a range of risk-taking behaviours on a night out, which may explain higher levels of BAC among stimulants users, at least in the initial stages of the drinking session.
© 2014 Society for the Study of Addiction.

Entities:  

Keywords:  Alcohol; blood alcohol concentration; energy drinks; intoxication; licensed venues; night-time economy; pre-drinking; stimulants

Mesh:

Substances:

Year:  2014        PMID: 25220360     DOI: 10.1111/add.12742

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  10 in total

1.  Effects of caffeine on alcohol reinforcement: beverage choice, self-administration, and subjective ratings.

Authors:  Mary M Sweeney; Steven E Meredith; Daniel P Evatt; Roland R Griffiths
Journal:  Psychopharmacology (Berl)       Date:  2017-01-20       Impact factor: 4.530

2.  Sensitization and Tolerance Following Repeated Exposure to Caffeine and Alcohol in Mice.

Authors:  Christina E May; Harold L Haun; William C Griffin
Journal:  Alcohol Clin Exp Res       Date:  2015-07-02       Impact factor: 3.455

3.  Effect of caffeine on alcohol drinking in mice.

Authors:  Harold L Haun; Anne C K Olsen; Katharina E Koch; Lauryn N Luderman; Christina E May; William C Griffin
Journal:  Alcohol       Date:  2021-03-26       Impact factor: 2.558

4.  Demographic and Substance Use Factors Associated with Non-Violent Alcohol-Related Injuries among Patrons of Australian Night-Time Entertainment Districts.

Authors:  Kerri Coomber; Richelle Mayshak; Shannon Hyder; Nicolas Droste; Ashlee Curtis; Amy Pennay; William Gilmore; Tina Lam; Tanya Chikritzhs; Peter G Miller
Journal:  Int J Environ Res Public Health       Date:  2017-01-12       Impact factor: 3.390

5.  The contexts of heavy drinking: A systematic review of the combinations of context-related factors associated with heavy drinking occasions.

Authors:  Oliver Stanesby; Florian Labhart; Paul Dietze; Cassandra J C Wright; Emmanuel Kuntsche
Journal:  PLoS One       Date:  2019-07-10       Impact factor: 3.240

6.  An on-premise study to investigate the effects of mixing alcohol with caffeinated beverages.

Authors:  Sean J Johnson; Joris C Verster; Chris Alford
Journal:  Brain Behav       Date:  2022-02-08       Impact factor: 2.708

7.  Energy Drinks and Binge Drinking Predict College Students' Sleep Quantity, Quality, and Tiredness.

Authors:  Megan E Patrick; Jamie Griffin; Edward D Huntley; Jennifer L Maggs
Journal:  Behav Sleep Med       Date:  2016-05-16       Impact factor: 3.492

Review 8.  Alcohol mixed with energy drink (AMED): A critical review and meta-analysis.

Authors:  Joris C Verster; Sarah Benson; Sean J Johnson; Chris Alford; Samuel Benrejeb Godefroy; Andrew Scholey
Journal:  Hum Psychopharmacol       Date:  2018-02-08       Impact factor: 1.672

9.  Intensity of Energy Drink Use Plus Alcohol Predict Risky Health Behaviours among University Students in the Caribbean.

Authors:  Sandra D Reid; Jannel Gentius
Journal:  Int J Environ Res Public Health       Date:  2018-11-01       Impact factor: 3.390

10.  Effects of Mixing Energy Drinks With Alcohol on Driving-Related Skills.

Authors:  Clara Pérez-Mañá; Julián Andrés Mateus; Patricia Díaz-Pellicer; Ariadna Díaz-Baggerman; Marta Pérez; Mitona Pujadas; Francina Fonseca; Esther Papaseit; Jesús Pujol; Klaus Langohr; Rafael de la Torre
Journal:  Int J Neuropsychopharmacol       Date:  2022-01-12       Impact factor: 5.176

  10 in total

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