Hair testing reveals widespread drug mixing at dance festivals

Broad-spectrum LC-MS/MS hair analysis for monitoring recreational drug use in electronic dance music festival attendees.

Forensic toxicology • • Moderately Relevant
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AI Summary

Researchers developed and validated a broad LC-MS/MS method to detect 47 drugs and related compounds in hair, including cannabinoids, stimulants, opioids, hallucinogens, and synthetic drugs. The method showed suitable sensitivity, linearity, precision, and accuracy, supporting its use for monitoring longer-term patterns of recreational drug exposure.

The method was applied to 81 hair samples from attendees at Brazilian electronic dance music festivals. Every sample contained at least one target substance, indicating widespread polysubstance exposure. Among the substances measured, MDA was most prevalent, while cocaine-related compounds, MDMA, and Δ9-tetrahydrocannabinol (THC) were also frequently detected; THC appeared in 56.8% of samples. For cannabis users, the findings place cannabis exposure within a broader pattern of combined drug use rather than examining cannabis effects by itself.

💡 Key Findings

1
A validated LC-MS/MS method detected 47 drugs and related compounds in hair, including cannabinoids and synthetic cannabinoids.
High
80%
2
In the festival cohort, all 81 samples contained at least one target substance, supporting evidence of widespread polysubstance exposure.
Good
70%
3
MDA was the most prevalent detected substance, followed by benzoylecgonine, cocaine, and MDMA; Δ9-tetrahydrocannabinol (THC) was detected in 56.8% of samples.
Good
70%
4
The study supports hair toxicology as a useful tool for toxicosurveillance and longer-term monitoring of recreational drug-use patterns.
High
80%

📄 Original Abstract

Hair toxicological analysis enables the verification of long-term drug use monitoring and supports epidemiological studies. In recreational contexts, multi-analyte methods are crucial for accurately characterizing consumption patterns. The present work aimed to develop and validate an LC-MS/MS method for the analysis of 47 drugs of abuse and related compounds in hair samples. A 20 mg hair aliquot was incubated with methanol at 40 °C for 16 h. The supernatant was dried and injected into the LC-MS/MS system. The monitored substances were amphetamines, cocaine and related compounds, cannabinoids, opioids, hallucinogens, synthetic cathinones, synthetic phenethylamines, and synthetic cannabinoids. The method was validated in accordance with international recommendations and subsequently applied to 81 hair samples collected at Brazilian electronic dance music festivals. The method had limits of detection of 0.5-5 pg/mg and limits of quantification of 5-50 pg/mg. All compounds showed suitable linearity (R² > 0.9903). The precision assays showed CV% from 1.3% to 19.0%, while accuracy varied from 80.1% to 119.8%. All analyzed samples presented at least one of the target compounds. The most prevalent substances were MDA (85.2%), benzoylecgonine (84.0%), cocaine (84.0%), MDMA (72.8%), and Δ9-tetrahydrocannabinol (56.8%). This study presented a validated multi-analyte method for the analysis of drugs of abuse and related compounds in hair. Application of the method to a cohort of electronic dance music festival attendees revealed widespread polysubstance exposure, with a notable predominance of MDA. The findings support the role of toxicological analysis as a valuable tool for toxicosurveillance.

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