The use of prescription drugs, including synthetic opiates, is increasing in the U.S., with emergency room reports showing a dramatic rise in prescription opiate abuse. As part of an ongoing study, the hair of admitted opiate users was analyzed for hydrocodone and hydromorphone, as well as codeine, morphine, and 6-acetylmorphine in order to determine if there was any correlation between self-reported frequency of opiate intake and the concentration of drug detected in hair. The hairs were confirmed using gas chromatography-mass spectrometry following screening by enzyme linked immunosorbent assay (ELISA). Twenty-four hair specimens collected from volunteers showed the presence of hydrocodone (130-15,933 pg/mg); four of those also contained hydromorphone (59-504 pg/mg). The specimens were also analyzed for morphine, codeine, and 6-acetylmorphine. Hair specimens from five self-reported codeine users showed concentrations of hydrocodone between 592 and 15,933 pg/mg. In addition, codeine was present at concentrations of 575-20,543 pg/mg, but neither morphine nor hydromorphone were present in any of those hair specimens. Though the analysis of some opiates in hair has been previously published, this is the first study where the hydrocodone and hydromorphone concentrations have been measured following self-reported opiate intake.

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RESUMEamphetamine, 3-4 methylenedioxy-methamphetamine (MDMA), its metabolite methylenedioxy-amphetamine (MDA) and methylenedioxy ethylamphetamine (MDEA).The oral fluid specimens were confirmed for the presence of methamphetamine, amphetamine, MDMA and MDA. Hair

RESUMEC'est la première étude où des cheveux, de la salive et des urines ont été collectés simultanément sur une population toxicomane. Le cheveu est la matrice la plus appropriée pour identifier des consommateurs de cocaïne.using population, and urine slightly better in the self-repor¬ ted cocaine user population.This is the first study where hair, oral fluid and urine were collected simultaneously from a drug using population. Hairis the most likely matrix to identify cocaine users.

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