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[High-risk drug use: epidemiological pattern through hair testing in the forensic context]
M José Burgueño1, Sergio Sánchez1, M Ángeles Castro2
1Instituto Nacional de Toxicología y Ciencias Forenses, Departamento de Madrid. Madrid. España.
Cannabis and cocaine are the most prevalent drugs in individuals undergoing hair drug testing for judicial purposes. Heroin, MDMA, and amphetamine use show an increasing trend, with patterns varying by age and sex.
Area of Science:
- Forensic Toxicology
- Epidemiology
- Drug Abuse Research
Background:
- Traditional drug use surveys have limitations in accuracy and detecting low-prevalence behaviors.
- Hair drug testing offers an alternative method for assessing drug use patterns, particularly in forensic contexts.
- Understanding drug use epidemiology is crucial for public health and judicial investigations.
Purpose of the Study:
- To determine the epidemiological pattern of drug use in a population undergoing judicial hair drug testing.
- To provide an additional data source for understanding high-risk drug use.
- To analyze trends and demographic associations in drug use.
Main Methods:
- A cross-sectional study analyzed hair samples from 5,292 individuals in a forensic setting.
- Prevalence of various drugs including cannabis, cocaine, heroin, MDMA, and amphetamines was determined.
- Statistical analyses (Chi-square, Mann-Whitney U, Kruskal-Wallis H) were used to assess associations with demographics and trends over time.
Main Results:
- Cannabis (54%) and cocaine (49%) were the most prevalent drugs.
- Prevalence of heroin, methadone, MDMA, and amphetamine use ranged from 10% to 18%.
- Significant increases in MDMA, heroin, and amphetamine use were observed from 2013-2015, while methadone use decreased. Drug use varied significantly by sex and age.
Conclusions:
- Cannabis and cocaine are the most common drugs in this judicial hair testing population.
- Increasing trends in heroin, MDMA, and amphetamine use highlight evolving drug abuse patterns.
- Drug use patterns are significantly influenced by demographic factors such as age and sex.
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