# Opioid Use Disorder in Three Samples of the Lebanese Population: Correlation with Clinical and Genetic Factors

## TL;DR

This study examines opioid use disorder in Lebanon, finding links to smoking, sleep issues, and socioeconomic factors, but not genetic markers.

## Contribution

The study identifies sociodemographic and clinical risk factors for OUD in Lebanon, with no significant genetic associations in multivariate analysis.

## Key findings

- Higher OUD risk is associated with smoking, insomnia, and alcohol use.
- Male gender, unemployment, and low income are significant risk factors.
- The CRY2 AA genotype shows bivariate association but not in multivariate analysis.

## Abstract

Opioid Use Disorder (OUD) is a severe and recurrent condition that contributes to a global prevalence of disabilities. Accumulating evidence suggests a potential convergence of clinical and genetic factors underlying OUD.

This study explores the clinical and genetic factors associated with OUD in the Lebanese population.

A cross-sectional study in the Lebanese population included three different groups of participants stratified according to the cut-off of the revised Opioid Risk Tool (ORT-OUD): (1) Low-risk group for OUD (n=513; general population; ORT-OUD score <2.5); (2) High-risk group for OUD (n=87; general population; ORT-OUD score ≥3); (3) a third group consisting of patients clinically diagnosed with OUD according to the DSM-5 (n=46). The survey included sociodemographic information and used validated scales to assess other substance use disorders, sleep disturbances, depression, and anxiety. Genotyping for the COMT, MTHFR, and CRY2 genes was conducted for 91 patients using a real-time PCR (Roche®). Bivariate and multivariate analyses were conducted to identify the associations between OUD risk and sociodemographic, clinical, and genetic factors.

This study enrolled 646 participants. Multivariate analysis showed significant associations between risk of developing an OUD and cigarette smoking (B=0.583), worse insomnia scores (B=0.074) and Alcohol, Smoking and Substance Involvement Screening Test-alcohol (B=0.053) scores, male gender (B=13.351), lack of education (B=4.159), unemployment (B=7.235), low income (B=11.285), lack of healthcare coverage (B=4.190), neuropsychiatric disorders (B=7.966). Conversely, OUD risk was negatively correlated with the morning chronotype (B=-0.372). Bivariate analysis showed that the CRY2 AA genotype was significantly associated with a higher risk of OUD; nevertheless, none of the genetic factors remained significant in the multivariable model.

This study identified several sociodemographic, clinical, and genetic factors that could potentially increase the risk of developing OUD in the Lebanese population. Further research is needed to clarify risk factors and underlying mechanisms, enabling the development of more effective prevention strategies.

None Declared