Opioid usage in the USA has increased over the past decade, with prescriptions increasing from 76 million in 1991 to 207 million in 2013. New regulations have curbed the number of prescriptions, leading to an increase in heroin use. Heroin-related overdoses have quadrupled between 2000 and 2015. The traditional urinary biomarkers for indicating heroin use are a combination of morphine and 6-acetyl morphine (6-AM). Morphine is detectable in urine for several days. 6-AM is detected in urine for 2–8 hours. Papaverine has been proposed as an alternative heroin biomarker. It has been reported to have a 1–2 day detection window. Papaverine metabolites have been reported to have up to a 3-day detection window. Presented is a method for the detection of papaverine and its metabolites, 6-desmethyl papaverine (6-DMP) and 4′, 6-didesmethyl papaverine (4,6-DDMP), in urine using a modified Waters® MCX™ microelution method. An ultra-performance liquid chromatography and tandem mass spectrometry (UPLC–MS-MS), with a Waters’ BEH C18 column, and 20 mM ammonium formate water: 20 mM ammonium formate methanol mobile phase was employed. Calibration curves were linear from 0.1 to 50 ng/mL. No interferences were observed from the analysis of multicomponent therapeutic drug or drugs of abuse control materials; intra- and inter-run precision tests were acceptable. A total of 428 genuine urine specimens where heroin use was suspected were analyzed. These included 101 6-AM and 179 morphine only positive samples as well as 6 morphine-negative samples where papaverine and/or metabolites were detected. The determined concentrations in these samples for papaverine, 6-DMP and 4,6-DDMP ranged from 0.10 to 994, 0.10 to 462 and 0.12 to 218 ng/mL, respectively. The method was rugged and robust for the analysis of papaverine and metabolites, 6-DMP and 4,6-DDMP. The use papaverine and metabolites, 6-DMP and 4,6-DDMP has the potential to increase the detection window of heroin use.
Objectives: We evaluated urine propylene glycol (PG) and vegetable glycerin (VG) as potential markers for discriminating e-cigarette (ECIG) users and non-users and verifying ECIG abstinence. Methods: We analyzed urine samples from 51 ECIG users (collected pre-/post-12-hour ECIG ab- stinence), and 50 controls (nicotine/tobacco non-users) urine cotinine, PG, and VG concentration. Results: Of 42 ECIG users with pre-abstinence urine cotinine indicating nicotine use, mean (SD) urine cotinine concentration was 1053.7 ng/ml (874.5) and for controls was 1.93 ng/ml (0.4); after abstinence, ECIG users' mean cotinine decreased to 615.4 ng/ml (753.0). For ECIG users, mean urine PG pre-abstinence was 25.6 mcg/ml (20.0) and was 9.8 mcg/ml (13.5) for controls; after abstinence, ECIG users' mean urine PG decreased to 9.7 mcg/ml (15.0; ps < .05). For ECIG users, mean urine VG pre-abstinence was 7.5 mcg/ml (7.1) and was 13.2 mcg/ml (25.0) for controls; after abstinence, ECIG users' mean VG decreased to 5.0 mcg/ml (4.4; ps < .05). Conclusions: ECIG users' mean urine PG was greater than controls and decreased after 12-hour ECIG abstinence suggesting urine PG may be useful for discriminating ECIG users from non-users and verifying short-term abstinence.
Presented is an ultra-high-pressure liquid chromatographic tandem mass spectrometry (UPLC–MS/MS) method developed for the detection of propylene glycol, glycerol, ethylene glycol and diethylene glycol using isotopically labeled standards in urine as part of ongoing studies to evaluate whether urinary propylene glycol and/or vegetable glycerin concentration are indicators of recent use. Propylene glycol and vegetable glycerol are found in many products that are consumed and used including electronic cigarettes (e-cigarettes). E-cigarettes are battery-powered devices used as an alternative to traditional cigarettes. The liquid formulations aerosolized in these devices largely consist of propylene glycol and/or vegetable glycerol. Published reports regarding the ratio of propylene glycol to glycerol content in these formulations ranged from 50:50 to 100 percent of either. For the analysis of urine specimens from both users and non-users of e-cigarettes, calibrators, controls and specimens were derivatized using benzoyl chloride prior to analysis. They were analyzed using a Waters AcQuity Xevo TQ-S Micro UPLC–MS/MS. Chromatographic separation was performed on an AcQuity UPLC BEH C18 1.7 um, 2.1 × 50 mm, column using a 20 mM ammonium formate in water and 20 mM ammonium formate in methanol as the mobile phase. The method was validated using SWGTOX guidelines for linearity, precision and accuracy, stability, carryover and limit of detection. The linear range was determined using a seven-point calibration curve ranging between 0.5 and 100 mcg/mL. The bias for all validation controls was determined to be ±20% of the expected concentrations with CVs of <15%. A total of 124 urine specimens analyzed collected with 50 specimens collected from self-reported non-smokers (cigarettes/e-cigarettes) confirmed cotinine free using the DRI® Cotinine Assay (Thermo Scientific, Waltham, MA) and 74 specimens collected before and after 12 hours self-reported e-cigarettes abstinence e-cigarette users. Propylene glycol and glycerol were determined to have concentration ranges of “none detected” to 1470 and “none detected” to 2950 mcg/mL, respectively.
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