Survey of substance use among adolescent drug offenders referred from juvenile courts in Taiwan: Clinical epidemiology of single versus multiple illicit substance use

GxE interaction effects of HCRTR2 single nucleotide polymorphism and adverse childhood experiences on methamphetamine use disorder

Background: Methamphetamine use disorder (MUD) is a worldwide health concern. The hypothalamic orexin system regulates stress response and addictive behaviors. The genetic variation in the hypocretin receptor 2 (HCRTR2), rs2653349, is associated with substance use disorder.Objectives: We explored the gene-environment (GxE) interaction of rs2653349 and adverse childhood experiences (ACEs) associated with MUD susceptibility.Methods: Four hundred and one individuals (336 males, 65 females) with MUD and 348 healthy controls (288 males, 60 females) completed a self-report questionnaire evaluating ACEs, encompassing childhood abuse and household dysfunction categories, and were genotyped for SNP rs2653349. Methamphetamine use variables were collected using the Diagnostic Interview for Genetic Studies. We used regression analyses to assess the GxE effect on MUD risk.Results: The MUD group had a comparable genotypic distribution for rs2653349 to the control group, albeit with a higher prevalence and number of types of ACEs, correlating with an increased MUD risk (p < .05). No significant genetic impact of rs2653349 on MUD risk was found. However, we observed a GxE interaction effect between the minor allele of rs2653349 and the number of childhood abuse or household dysfunction types, correlating with a reduced MUD risk (OR = -0.71, p = .04, Benjamini-Hochberg adjusted p = .08 and OR = -0.59, p = .045, Benjamini-Hochberg adjusted p = .09, respectively).Conclusion: HCRTR2 SNP rs2653349 has no significant impact on MUD risk, but ACEs may increase this risk. GxE results suggest that rs2653349 could offer protection against developing MUD in individuals experiencing multiple types of ACEs.

Predictive factors for severe outcomes in substance abuse-related emergency visits: A 5-year retrospective analysis at a medical center in Taiwan

BACKGROUND

Substance abuse is a considerable medical issue worldwide, yet current surveillance systems in Taiwan offer limited insights into the clinical characteristics and outcomes of substance abuse patients. This study aimed to delineate the epidemiology of emergency department visits related to substance abuse at a hospital in Taiwan and to identify factors predictive of severe complications or mortality.

METHODS

A retrospective analysis was conducted on substance abuse-related emergency department visits at a medical center in Taiwan between 2009 and 2013. Eligible participants were individuals aged 20 or older who had confirmed substance abuse through urinalysis. Variables such as patient demographics, substances abused, clinical characteristics, and outcomes were collected. Severe outcomes were defined as admission to the intensive care unit, requirement for endotracheal intubation, or in-hospital death. Logistic regression models were employed to identify factors contributing to severe outcomes.

RESULTS

The cohort consisted of 623 patients, of whom 64.0% were female and 67.1% were aged between 20 and 49 years. Benzodiazepines were detected in 75.3% of patients, while z-drugs (specifically zopiclone, zolpidem, or zaleplon) were found in 27.8%. Depressants, stimulants, and hallucinogens were present in 14.9%, 10.6%, and 0.6% of the cases, respectively. Of the patient, 121 (19.4%) experienced severe outcomes, including 116 (18.6%) intensive care unit admissions, 73 (11.7%) intubations, and 11 (1.8%) in-hospital deaths. Multivariable logistic regression analysis revealed multiple predictors of severe outcomes, such as emergency department triage level, aspiration pneumonia, leukocytosis, abnormal hepatic function, abnormal renal function, hypernatremia, and hypocalcemia.

CONCLUSION

In Taiwan, benzodiazepines emerged as the most prevalent substance of abuse among emergency department visitors, and a significant proportion of these patients experienced severe outcomes. Continuous monitoring of severe outcome predictors is essential for enhanced understanding and management.