PMID- 38154456 OWN - NLM STAT- MEDLINE DCOM- 20240206 LR - 20240206 IS - 1421-9891 (Electronic) IS - 1022-6877 (Linking) VI - 30 IP - 1 DP - 2024 TI - Polydrug Use Typologies of Regular Ecstasy Users Visiting Electronic Dance Music Events: A Latent Class Analysis. PG - 52-64 LID - 10.1159/000534487 [doi] AB - INTRODUCTION: Polydrug use patterns among young adults using ecstasy vary, as well as their willingness to change them. Polydrug use patterns are likely associated with different adverse health outcomes. It is unknown whether polydrug use patterns of young adults who use ecstasy are similar in different countries. This study aims to identify and compare polydrug use patterns and willingness to change them of young adults that use ecstasy in the United Kingdom (UK) and the Netherlands (NL), two countries with a high prevalence of ecstasy use and a large electronic dance music (EDM) scene. METHODS: The data from the online cross-sectional Electronic Music Scene Survey were used in a latent class analysis. The binary indicators used in the estimation were past-year substance use of 21 different substances. The sample consisted of young adult ecstasy users that regularly visit EDM events (age 18-34). RESULTS: A total of 1,077 respondents from the UK (age M = 23.1) and 1,178 from the NL (age M = 23.7) that regularly visit EDM events were included in the analyses. In both countries, three polydrug use patterns of ecstasy users were identified based on Bayesian Information Criterion fit indices: a traditional polydrug use class (UK: 28%; NL: 40%), a stimulant and ketamine polydrug use class (UK: 48%; NL: 52%), and an extensive polydrug use class (UK: 24%; NL: 8%) characterized by substantial use of stimulants, depressant, and psychedelic substances. Overall, young adults that used ecstasy in the UK consumed 3,4-methylenedioxymeth-amphetamine (MDMA) more often as powder/crystalline and at higher dosages compared to young adults in the NL who preferred MDMA tablets. Regardless of polydrug class or country, most respondents indicated that they had the intention to reduce but not quit their use. CONCLUSION: In both countries, structurally similar polydrug use patterns among young adults that use ecstasy were found, while the use frequencies of individual substances and preferred MDMA form varied between the countries. CI - (c) 2023 S. Karger AG, Basel. FAU - van Beek, Ruben Johannes Jacob AU - van Beek RJJ AD - Trimbos Institute, Utrecht, The Netherlands. FAU - Blankers, Matthijs AU - Blankers M AD - Trimbos Institute, Utrecht, The Netherlands. AD - Department of Research, Arkin Mental Health Care, Amsterdam, The Netherlands. AD - Department of Psychiatry, Amsterdam UMC, Location AMC, University of Amsterdam, Amsterdam, The Netherlands. FAU - Kleinjan, Marloes AU - Kleinjan M AD - Trimbos Institute, Utrecht, The Netherlands. AD - Department of Interdisciplinary Social Science, Utrecht University, Utrecht, The Netherlands. FAU - Waldron, Jon AU - Waldron J AD - Clinical Psychopharmacology Unit, University College London, London, UK. FAU - Grabski, Meryem AU - Grabski M AD - Clinical Psychopharmacology Unit, University College London, London, UK. FAU - Freeman, Tom AU - Freeman T AD - Clinical Psychopharmacology Unit, University College London, London, UK. AD - Department of Psychology, Addiction and Mental Health Group (AIM), University of Bath, Bath, UK. FAU - Curran, Valerie AU - Curran V AD - Clinical Psychopharmacology Unit, University College London, London, UK. FAU - van der Pol, Peggy AU - van der Pol P AD - Topicus Healthcare Company, Deventer, The Netherlands. FAU - van Laar, Margriet AU - van Laar M AD - Trimbos Institute, Utrecht, The Netherlands. LA - eng PT - Journal Article DEP - 20231228 PL - Switzerland TA - Eur Addict Res JT - European addiction research JID - 9502920 RN - KE1SEN21RM (N-Methyl-3,4-methylenedioxyamphetamine) RN - 0 (Illicit Drugs) SB - IM MH - Young Adult MH - Humans MH - Adolescent MH - Adult MH - *N-Methyl-3,4-methylenedioxyamphetamine/analysis MH - *Illicit Drugs/adverse effects MH - *Dancing MH - *Music MH - Latent Class Analysis MH - Cross-Sectional Studies MH - Bayes Theorem MH - *Substance-Related Disorders/epidemiology OTO - NOTNLM OT - Ecstasy OT - Electronic dance music OT - Latent class analysis OT - Nightlife OT - Polydrug use EDAT- 2023/12/29 00:42 MHDA- 2024/02/06 06:43 CRDT- 2023/12/28 18:25 PHST- 2021/04/14 00:00 [received] PHST- 2023/09/22 00:00 [accepted] PHST- 2024/02/06 06:43 [medline] PHST- 2023/12/29 00:42 [pubmed] PHST- 2023/12/28 18:25 [entrez] AID - 000534487 [pii] AID - 10.1159/000534487 [doi] PST - ppublish SO - Eur Addict Res. 2024;30(1):52-64. doi: 10.1159/000534487. Epub 2023 Dec 28.