Frequency and type of adverse analytical findings in athletics: Differences among disciplines.

Athletics is a highly diverse sport that contains a set of disciplines grouped into jumps, throws, races of varying distances, and combined events. From a physiological standpoint, the physical capabilities linked to success are quite different among disciplines, with varying involvements of muscle strength, muscle power, and endurance. Thus, the use of banned substances in athletics might be dictated by physical dimensions of each discipline. Thus, the aim of this investigation was to analyse the number and distribution of adverse analytical findings per drug class in athletic disciplines. The data included in this investigation were gathered from the Anti-Doping Testing Figure Report made available by the World Anti-Doping Agency (from 2016 to 2018). Interestingly, there were no differences in the frequency of adverse findings (overall,~0.95%, range from 0.77 to 1.70%) among disciplines despite long distance runners having the highest number of samples analysed per year (~9812 samples/year). Sprinters and throwers presented abnormally high proportions of adverse analytical findings within the group of anabolic agents (p < 0.01); middle- and long-distance runners presented atypically high proportions of findings related to peptide hormones and growth factors (p < 0.01); racewalkers presented atypically high proportions of banned diuretics and masking agents (p = 0.05). These results suggest that the proportion of athletes that are using banned substances is similar among the different disciplines of athletics. However, there are substantial differences in the class of drugs more commonly used in each discipline. This information can be used to effectively enhance anti-doping testing protocols in athletics.

Review of the Current State of Urine Drug Testing in Chronic Pain: Still Effective as a Clinical Tool and Curbing Abuse, or an Arcane Test?

PURPOSE OF REVIEW: Therapeutic use, misuse, abuse, and diversion of controlled substances in managing chronic non-cancer pain remain a major concern for physicians, the government, payers, and patients. The challenge remains finding effective diagnostic tools that can be clinically validated to eliminate or substantially reduce the abuse of controlled prescription drugs, while still assuring the proper treatment of those patients in pain. Urine drug testing still remains an important means of adherence monitoring, but questions arise as to its relevance and effectiveness. This review examines the role of UDT, determines its utility in current clinical practice, and investigates its relevance in current chronic pain management. RECENT FINDINGS: A review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Literature was searched from year 2000 to present examining the relevance and role of UDT in monitoring chronic opioid therapy along with reliability and accuracy, appropriate use, overuse, misuse, and abuse. There are only a limited number of reviews and investigations on UDT, despite the fact that clinicians who prescribe controlled medications for chronic states commonly are expected to utilize UDT. Therefore, despite highly prevalent use, there is a limited publication base from which to draw in this present study. Regardless of experience or training background, physicians and healthcare providers can much more adequately assess opioid therapy with the aid of UDT, which often requires confirmatory testing by a laboratory for clinical and therapeutic prescribing decisions. It has become a strongly recommended aspect of pain care with controlled substances locally, regionally, and nationally. Incorporating UDT for all patients in whom chronic opioid therapy is undertaken is consistent with state and national guidelines and best practice strategies. Practice standards vary as to the frequency of UDT locally, regionally, and nationally, however.

Screening for Unhealthy Drug Use: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force.

Importance: Illicit drug use is among the most common causes of preventable morbidity and mortality in the US. Objective: To systematically review the literature on screening and interventions for drug use to inform the US Preventive Services Task Force. Data Sources: MEDLINE, PubMed, PsycINFO, Embase, and Cochrane Central Register of Controlled Trials through September 18, 2018; literature surveillance through September 21, 2019. Study Selection: Test accuracy studies to detect drug misuse and randomized clinical trials of screening and interventions to reduce drug use. Data Extraction and Synthesis: Critical appraisal and data abstraction by 2 reviewers and random-effects meta-analyses. Main Outcomes and Measures: Sensitivity, specificity, drug use and other health, social, and legal outcomes. Results: Ninety-nine studies (N = 84 206) were included. Twenty-eight studies (n = 65 720) addressed drug screening accuracy. Among adults, sensitivity and specificity of screening tools for detecting unhealthy drug use ranged from 0.71 to 0.94 and 0.87 to 0.97, respectively. Interventions to reduce drug use were evaluated in 52 trials (n = 15 659) of psychosocial interventions, 7 trials (n = 1109) of opioid agonist therapy, and 13 trials (n = 1718) of naltrexone. Psychosocial interventions were associated with increased likelihood of drug use abstinence (15 trials, n = 3636; relative risk [RR], 1.60 [95% CI, 1.24 to 2.13]; absolute risk difference [ARD], 9% [95% CI, 5% to 15%]) and reduced number of drug use days (19 trials, n = 5085; mean difference, -0.49 day in the last 7 days [95% CI, -0.85 to -0.13]) vs no psychosocial intervention at 3- to 4-month follow-up. In treatment-seeking populations, opioid agonist therapy and naltrexone were associated with decreased risk of drug use relapse (4 trials, n = 567; RR, 0.75 [95% CI, 0.59 to 0.82]; ARD, -35% [95% CI, -67% to -3%] and 12 trials, n = 1599; RR, 0.73 [95% CI, 0.62 to 0.85]; ARD, -18% [95% CI, -26% to -10%], respectively) vs placebo or no medication. While evidence on harms was limited, it indicated no increased risk of serious adverse events. Conclusions and Relevance: Several screening instruments with acceptable sensitivity and specificity are available to screen for drug use, although there is no direct evidence on the benefits or harms of screening. Pharmacotherapy and psychosocial interventions are effective at improving drug use outcomes, but evidence of effectiveness remains primarily derived from trials conducted in treatment-seeking populations.

Screening for Unhealthy Drug Use: US Preventive Services Task Force Recommendation Statement.

IMPORTANCE: An estimated 12% of adults 18 years or older and 8% of adolescents aged 12 to 17 years report unhealthy use of prescription or illegal drugs in the US. OBJECTIVE: To update its 2008 recommendation, the USPSTF commissioned reviews of the evidence on screening by asking questions about drug use and interventions for unhealthy drug use in adults and adolescents. POPULATION: This recommendation statement applies to adults 18 years or older, including pregnant and postpartum persons, and adolescents aged 12 to 17 years in primary care settings. This statement does not apply to adolescents or adults who have a currently diagnosed drug use disorder or are currently undergoing or have been referred for drug use treatment. This statement applies to settings and populations for which services for accurate diagnosis, effective treatment, and appropriate care can be offered or referred. EVIDENCE ASSESSMENT: In adults, the USPSTF concludes with moderate certainty that screening by asking questions about unhealthy drug use has moderate net benefit when services for accurate diagnosis of unhealthy drug use or drug use disorders, effective treatment, and appropriate care can be offered or referred. In adolescents, because of the lack of evidence, the USPSTF concludes that the benefits and harms of screening for unhealthy drug use are uncertain and that the balance of benefits and harms cannot be determined. RECOMMENDATION: The USPSTF recommends screening by asking questions about unhealthy drug use in adults 18 years or older. Screening should be implemented when services for accurate diagnosis, effective treatment, and appropriate care can be offered or referred. (Screening refers to asking questions about unhealthy drug use, not testing biological specimens.) (B recommendation) The USPSTF concludes that the current evidence is insufficient to assess the balance of benefits and harms of screening for unhealthy drug use in adolescents. (I statement).

Opioid Misuse Risk: Implementing Screening Protocols in an Ambulatory Oncology Clinic.

With morbidity and mortality related to opioid use continuing to increase, clinicians need to better understand the risk for opioid misuse in patient populations. Screening for opioid misuse risk has not been routinely adopted as a standard practice in clinical settings. A pilot study was performed to determine the feasibility of screening for future opioid misuse risk using the Opioid Risk Tool (ORT) in an ambulatory oncology clinic. Twelve patients in this sample scored in the moderate- to high-risk range for aberrant behavior, and 8 patients reported a personal history of substance abuse, indicating a need for opioid misuse risk screening in populations of patients with cancer. Because it is easy and quick to use, the ORT may be a feasible tool to incorporate into standard practice.

Quantitative biochemical screening for marijuana use and concordance with tobacco use in urban adolescents.

BACKGROUND: Assessing the prevalence and level of exposure (dose) of tobacco and marijuana use is important in studies of harm from use of these substances. We used biochemical analysis of urine to quantitatively assess exposure to nicotine and delta 9-tetrahydrocannabinol (THC) in adolescents receiving medical care in a public hospital METHODS: Participants were 686 adolescents between 12 and 21 years old seen at Zuckerberg San Francisco General Hospital between 2012 and 2014. Urine samples were assayed using high sensitivity liquid chromatographic assays for cotinine, a major metabolite of nicotine, and 11-nor-9-carboxy-delta 9-THC (THC-COOH), a major metabolite of THC. A commonly used immunoassay screen for THC-COOH was also performed. RESULTS: The THC-COOH immunoassay substantially underestimated THC exposure, as measured with the high sensitivity assay. THC use was detected in 25% of participants, with higher prevalence with increasing age and in non-Hispanic blacks. Active tobacco smokers had an 80% prevalence of THC use (odds ratio for cigarette smoking predicting THC use 13.2). Urine cotinine and THC-COOH were significantly correlated (r = 0.60). CONCLUSIONS: The use of a high sensitivity chromatographic urine assay provides a much more complete picture of adolescent tobacco use compared to a commonly used immunoassay. The immunoassay provides high specificity but moderate sensitivity. We confirm high concordance of tobacco and marijuana use and the high predictive value of cigarette smoking in predicting marijuana use, and provide novel data on the quantitative correlation between level of exposure to nicotine and THC. Quantitative screening of nicotine and THC exposure may enhance our understanding of addiction and harm from single and dual product use.

Using Papaverine and Its Metabolites, 6-Desmethyl Papaverine and 4',6-Didesmethyl Papaverine as Biomarkers to Improve the Detection Time of Heroin Use.

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.

Gas Chromatography-Mass Spectrometry Method for the Quantitative Identification of 23 New Psychoactive Substances in Blood and Urine.

New psychoactive substances (NPSs) have become an integral part of the recreational drug market with "new" compounds being reported by the European Monitoring Centre for Drugs and Drug Addiction weekly. Due to the changing nature of NPSs, it is impractical to carry out single analyte or even simple class quantitation. Although several gas chromatography-mass spectrometry (GC-MS) methods have been developed these are typically class specific. We present a validated GC-MS method for the quantitation of 2-DPMP, 3-MeO-PCE, 3-MeO-PCP, 5-APB, 6-APB, benzedrone, butylone, ethylone, flephedrone, methiopropamine, MDPV, mephedrone, methoxetamine, methylone, naphyrone, 25B-NBOME, 25C-NBOME, 25D-NBOMe, 25E-NBOME, 25H-NBOME, 25I-NBOME, Mescaline-NBOME and 25P-NBOME in blood and urine samples. Sample preparation was carried out using solid-phase extraction followed by derivatisation and analysis by GC-MS. Parameters investigated for validation included bias, precision, linear calibration model, carryover, interferences, limit of detection, limit of quantification, and autosampler and freeze/thaw stability. All drugs yielded successful results for each of these parameters as per SWGTOX guidelines. The GC-MS method was used for the reanalysis of 12 blood samples (eight cases) where 25I-NBOMe, 25C-NBOMe, methoxetamine and methylone had previously been detected by NMS laboratories. This GC-MS method was able to quantitatively detect these drugs in 75% of the blood samples, 42% of which contained either 25C-NBOMe or 25I-NBOMe. This method accurately allows for the simultaneous quantification of a wide variety of compounds via GC-MS, in particular NBOMe compounds which are typically analysed by liquid chromatography-tandem mass spectrometry which is not available in all laboratories.

First identification of a diuretic, hydrochlorothiazide, in hair: Application to a doping case and interpretation of the results.

An athlete contested an adverse analytical finding involving hydrochlorothiazide, and requested our laboratory for testing his hair. As there is no reference in the literature about identification of hydrochlorothiazide in hair, several volunteers were first enrolled (4 after a single 25 mg administration and 10 with daily therapeutic treatment). A specific method was developed by ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS. Hair samples were decontaminated with dichloromethane and 30 mg were incubated in buffer at pH 7.0 for 15 hours at 50°C. Then, 5 mL ethyl acetate was added for extraction. Linearity was observed for hydrochlorothiazide concentrations ranging from 5 to 2000 pg/mg. The limit of quantification was 5 pg/mg. The coefficients of variation (CVs) of repeatability and matrix effect were lower than 20%. Analysis of the 0-2-cm segment of the 4 volunteers having received a single dose, collected 1 month after administration, was negative at the limit of quantification. The hair of the 10 patients (proximal 2 cm) on daily treatment was positive with concentrations ranging from 12 to 1845 pg/mg, with no correlation between daily dose and concentration. The athlete's hair tested positive for hydrochlorothiazide at 36 pg/mg in the segment corresponding to the period of the urinary control. Since a single exposure to hydrochlorothiazide is not detectable in hair and based on the results of the patients on daily treatment, the concentration found in the athlete has been interpreted as corresponding to repeated exposures, where it was not possible to establish the dosage and the frequency.

Reliability and Validity of a Two-Question Version of the World Health Organization's Alcohol, Smoking and Substance Involvement Screening Test: The ASSIST-FC.

OBJECTIVE: The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST), developed for the World Health Organization (WHO), screens for risks associated with the use of tobacco, alcohol, and seven categories of drugs. Although the ASSIST has acceptable psychometric properties, it is relatively long for a screening test. This study was designed to identify a subset of questions from the full ASSIST instrument having comparable psychometric properties for the classification of low-, moderate-, and high-risk substance use. METHOD: The study used three data sets from prior studies using the WHO ASSIST. Samples 1 and 3 were obtained from WHO multisite studies conducted in seven countries. Sample 2 included patient data from a U.S.-based screening and brief intervention program that incorporated the ASSIST into its clinical protocol. Samples 1 and 2 were used to conduct psychometric analyses for combinations of ASSIST items. Sample 3 was used to estimate sensitivity, specificity, and positive and negative predictive value for a two-item ASSIST. RESULTS: Based on correlation statistics, reliability metrics, and validation analyses, a new, two-item version is proposed. The ASSIST-FC contains one question about the frequency (F) of current use and a second question about current or past concern (C) expressed by others. The ASSIST-FC demonstrates no substantial loss in reliability, validity, and predictive ability when statistically compared with the full-length ASSIST. CONCLUSIONS: The ASSIST-FC has advantages for clinical applications in settings where a brief, efficient, reliable screening test is needed to identify patients with hazardous and harmful substance use who would benefit from a brief intervention. It can also be used to identify patients who are manifesting symptoms of substance dependence that would require further diagnostic evaluation.

Analysis of Drugs of Abuse by Gas Chromatography-Mass Spectrometry (GC-MS).

Analysis of drugs of abuse constitutes a major portion of work for many crime laboratories. The most important and most utilized technique for the screening and identification of solid-dosage drugs is gas chromatography-mass spectrometry (GC-MS). A detailed practical procedure is described for the rapid screening and identification by GC-MS of most drugs of abuse that are commonly encountered in forensic drug laboratories.

High-volume steroid isotopic standards developed as working standards for gas chromatography-combustion-isotope ratio mass spectrometry.

High-precision carbon isotope ratio analysis of urinary steroids by gas chromatography-combustion-isotope ratio mass spectrometry (GC-C-IRMS) is the official test to detect illicit doping of synthetic versions of endogenous steroids, such as testosterone. Our group created the first steroid isotopic standards (SIS) specifically for World Anti-Doping Agency (WADA) accredited laboratories. The standards contain mixtures of steroids as acetates or free steroids at ~400 µg each per ampoule and have been widely distributed to anti-doping laboratories to facilitate comparability of inter-laboratory results. Here we report on the creation and characterization of 3 new high-volume single component SIS suitable for use as working standards. They contain ~50 times more steroid mass per ampoule than previous SIS. The new SIS, coded CU/PCC 40-1, CU/PCC 41-1, & CU/PCC 42-1, contain ~20 mg of androsterone, androsterone-AC, and 5α-cholestane, with determined isotopic values of -27.09 ± 0.07 mUr, -32.82 ± 0.01 mUr, -25.03 ± 0.01 mUr, respectively. We used our previously developed protocol to calibrate the isotopically uniform steroids against the isotopic standard gases methane and ethane in NIST RM 8559 that are traceable to the international standard Vienna PeeDee Belemnite (VPDB). Two sets of data, acquired 7 months apart, of absolute δ13 CVPDB and ∆Δδ13 CVPDB values from 8 randomly selected ampoules of all 3 SIS indicate uniformity of steroid isotopic composition within measurement reproducibility, SD(δ13 C) < 0.2 mUr Our results show that protocols for SIS extend to creation of high volume working standards that can also be used as internal standards under appropriate GC conditions.

Development of a Liquid Chromatography-Tandem Mass Spectrometry Method for the Simultaneous Determination of Four Cannabinoids in Umbilical Cord Tissue.

In utero exposure to marijuana may cause various short- and long-term health problems, such as stillbirth, low birth weight and decreased cognitive function. Detection of in utero marijuana exposure with a relatively new specimen type, umbilical cord tissue, can be used to plan treatment and guide social management. In this study, a liquid chromatography-tandem mass spectrometry (LC-MS-MS) assay was developed for the simultaneous identification of four cannabinoids in umbilical cord tissue, including ∆9-tetrahydrocannabinol (THC), 11-nor-9-carboxy-∆9--THC (THC-COOH), 11-hydroxy-∆9-THC (11-OH-THC) and cannabinol (CBN). Within- and between-run imprecision, accuracy, linearity, sensitivity, carryover, recovery, matrix effects and specificity were evaluated using drug-free umbilical cord tissue spiked with non-deuterated and deuterated standards. Calibration curves were reproducible and linear (r > 0.995) for all four analytes in the range of 0.2 ng/g lower limit of quantitation (LLOQ) and 30 ng/g upper limit of quantitation (ULOQ). Total imprecisions (% coefficient of variation) were 7.8% (THC), 13.3% (THC-COOH), 11.8% (11-OH-THC) and 10.6% (CBN) at low QC (n = 15, 0.25 ng/g), and were 7.2% (THC), 10.0% (THC-COOH), 9.5% (11-OH-THC) and 5.8% (CBN) at high QC (n = 15, 4 ng/g), respectively. No interfering substances were identified, and no carryover was observed. The average accuracies (N = 25) were 94-95%. The average recoveries observed for THC, THC-COOH, 11-OH-THC and CBN were 74, 82, 58 and 86%, respectively. By analyzing authentic clinical specimens that had been previously tested for cannabinoids by enzyme-linked immunoassay, positive and negative result agreements were 100 and 53.8%. In summary, the presented method can be used for the assessment of in utero exposure to four common cannabinoids.

Compliance with Opioid Therapy: Distinguishing Clinical Characteristics and Demographics Among Patients with Cancer Pain.

Background: Because an increase of patients who misuse opioids has been identified in our cancer clinical setting through urine drug testing (UDT) and the Screener and Opioid Assessment for Patient's with Pain-Short Form (SOAPP-SF), we conducted this retrospective cohort study to identify patient characteristics that are associated with UDT that indicates noncompliance. Methods: Over a two-year period, 167 of 8,727 patients (2.4%) seen in the pain clinic and who underwent UDT were evaluated to determine compliance with prescribed opioid regimens. Descriptive clinical and demographic data were collected, and group differences based on compliance with opioid therapy were evaluated. Results: Fifty-eight percent of the patients were noncompliant with their prescribed opioid therapy. Noncompliant patients were younger than compliant patients, with a median age of 46 vs 49 years (P = 0.0408). Noncompliant patients were more likely to have higher morphine equivalent daily doses; however, the difference was not statistically significant. Patients with a history of alcohol (ETOH) (P = 0.0332), illicit drug use (P = 0.1014), and smoking (P = 0.4184) were more likely noncompliant. Univariate regression analysis showed that a history of ETOH use (P = 0.034), a history of anxiety (P = 0.027), younger age (P = 0.07), and a SOAPP-SF score of 4 or higher (P = 0.05) were associated with an abnormal UDT. Conclusions: History of ETOH use, anxiety, high SOAPP-SF score, and younger age were associated with UDT that indicates noncompliance. Given the very small percentage of UDT testing, it is quite likely that a significant number of patients who did not undergo UDT were also nonadherent with treatment recommendations.

Quantification of Methadone and Main Metabolites in Nails.

The quantification of drugs of abuse in keratinized matrices is becoming of special relevance for monitoring consumption and for post-mortem investigations. We aimed to implement an analytical method for the simultaneous detection of morphine (MORF), 6-monoacetylmorphine (6-MAM), methadone (MET), 2-ethylidene-1,5-dimethyl-3,3-diphenylpyrrolidine (EDDP) and 2-ethyl-5-methyl-3,3-diphenylpyrrolidine (EMDP) in nails. After decontamination, the nail samples (30 mg) were submitted to an alkaline digestion followed by a two-step liquid-liquid and SPE extraction using mixed-mode cation exchange cartridges. The analytes were eluted with 5% NH4OH/methanol. After derivatization with N-methyl-N-(trimethylsilyl) trifluoroacetamide, the analytes were quantified by gas chromatography-mass spectrometry. The method was optimized and fully validated only for MET, EDDP and EMDP, since for MOR and 6-MAM it was not possible to obtain adequate recovery rates after extraction, although detection of MOR was still possible. The method was selective, accurate and precise. Regression analysis demonstrated linearity over a concentration range of 20.8-333.3 ng/mg for MET and 10.4-166.7 ng/mg for EDDP and EMDP. Limits of detection and quantification values ranged from 3.3 to 6.0 ng/mg and 10.4 to 20.8 ng/mg, respectively, and recovery rates ranged from 82% to 98%. The applicability of the method was demonstrated by analyzing nail and urine samples obtained from heroin consumers under substitution therapy with MET.

Confirmation of recent heroin abuse: Accepting the challenge.

Confirmation or exclusion of recent heroin consumption is still one of the major challenges for forensic and clinical toxicologists. A great variety of biomarkers is available for heroin abuse confirmation, including various opium alkaloids (eg, morphine, codeine), street heroin impurities (eg, 6-acetylcodeine [6-AC], noscapine, papaverine) as well as associated metabolites (eg, 6-monoacetylmorphine [6-MAM], morphine glucuronides). However, the presence of most of these biomarkers cannot solely be attributed to a previous heroin administration but can, among other things, also be due to consumption of poppy seed products ('poppy seed defense'), opium preparations or specific medications, respectively. A reliable allocation is of great importance in different contexts, for instance in the case of DUID (driving under the influence of drugs) investigations, in driving licence re-granting processes, in workplace drug testing (WDT), as well as in post-mortem identification of illicit opiate use. Additionally, differentiation between illicit street heroin abuse and pharmaceutical heroin administration is also important, especially within the frame of heroin-assisted treatments. Therefore, analysis of multiple biomarkers is recommended when illicit opiate consumption is assumed to obtain the most reliable results possible. Beyond that, interpretation of positive opiate test results requires a profound insight into the great variety of biomarkers available and their validity regarding the alleged consumption. This paper aims to provide an overview of the wide variety of heroin abuse biomarkers described in the literature and to review them regarding their utility and reliability in daily routine analysis.

Diagnostic accuracy of a two-item Drug Abuse Screening Test (DAST-2).

OBJECTIVE: Drug use is prevalent and costly to society, but individuals with drug use disorders (DUDs) are under-diagnosed and under-treated, particularly in primary care (PC) settings. Drug screening instruments have been developed to identify patients with DUDs and facilitate treatment. The Drug Abuse Screening Test (DAST) is one of the most well-known drug screening instruments. However, similar to many such instruments, it is too long for routine use in busy PC settings. This study developed and validated a briefer and more practical DAST for busy PC settings. METHOD: We recruited 1300 PC patients in two Department of Veterans Affairs (VA) clinics. Participants responded to a structured diagnostic interview. We randomly selected half of the sample to develop and the other half to validate the new instrument. We employed signal detection techniques to select the best DAST items to identify DUDs (based on the MINI) and negative consequences of drug use (measured by the Inventory of Drug Use Consequences). Performance indicators were calculated. RESULTS: The two-item DAST (DAST-2) was 97% sensitive and 91% specific for DUDs in the development sample and 95% sensitive and 89% specific in the validation sample. It was highly sensitive and specific for DUD and negative consequences of drug use in subgroups of patients, including gender, age, race/ethnicity, marital status, educational level, and posttraumatic stress disorder status. CONCLUSIONS: The DAST-2 is an appropriate drug screening instrument for routine use in PC settings in the VA and may be applicable in broader range of PC clinics.

Population pharmacokinetics model of THC used by pulmonary route in occasional cannabis smokers.

Cannabis is the most widely used illegal drug in the world. Delta-9-tetrahydrocannabinol (THC) is the main source of the pharmacological effect. Some studies have been carried out and showed significant variability in the described models as the values of the estimated pharmacokinetic parameters. The objective of this study was to develop a population pharmacokinetic model for THC in occasional cannabis smokers. Twelve male volunteers (age: 20-28years, body weight: 62.5-91.0kg), tobacco (3-8 cigarette per day) and cannabis occasional smokers were recruited from the local community. After ad libitum smoking cannabis cigarette according a standardized procedure, 16 blood samples up to 72h were collected. Population pharmacokinetic analysis was performed using a non-linear mixed effects model, with NONMEM software. Demographic and biological data were investigated as covariates. A three-compartment model with first-order elimination fitted the data. The model was parameterized in terms of micro constants and central volume of distribution (V1). Normal ALT concentration (6.0 to 45.0IU/l) demonstrated a statistically significant correlation with k10. The mean values (%Relative Standard Error (RSE)) for k10, k12, k21, k23, k32 and V1 were 0.408h-1 (48.8%), 4.070h-1 (21.4%), 0.022h-1 (27.0%), 1.070h-1 (14.3%), 1.060h-1 (16.7%) and 19.10L (39.7%), respectively. We have developed a population pharmacokinetic model able to describe the quantitative relationship between administration of inhaled doses of THC and the observed plasma concentrations after smoking cannabis. In addition, a linear relationship between ALT concentration and value of k10 has been described and request further investigation.

Determination of Synthetic Cathinones in Urine Using Gas Chromatography-Mass Spectrometry Techniques.

In recent years, the abuse of synthetic cathinones has increased considerably. This study proposes a method, based on gas chromatography/mass spectrometry (GC-MS), to analyze and quantify six synthetic cathinones in urine samples: mephedrone (4-MMC), methylone (bk-MDMA), butylone, ethylone, pentylone and methylenedioxypyrovalerone (MDPV). In our procedure, the urine samples undergo solid-phase extraction (SPE) and derivatization prior to injection into the GC-MS device. Separation is performed using a HP-5MS capillary column. The use of selective ion monitoring (SIM mode) makes it is good sensitivity in this method, and the entire analysis process is within 18 min. In addition, the proposed method maintains linearity in the calibration curve from 50 to 2,000 ng/mL (r(2) > 0.995). The limit of detection of this method is 5 ng/mL, with the exception of MDPV (20 ng/mL); the limit of quantification is 20 ng/mL, with the exception of MDPV (50 ng/mL). In testing, the extraction performance of SPE was between 82.34 and 104.46%. Precision and accuracy results were satisfactory <15%. The proposed method was applied to six real urine samples, one of which was found to contain 4-MMC and bk-MDMA. Our results demonstrate the efficacy of the proposed method in the identification of synthetic cathinones in urine, with regard to the limits of detection and quantification. This method is highly repeatable and accurate.

Expanded test method for peptides >2 kDa employing immunoaffinity purification and LC-HRMS/MS.

Bioactive peptides with an approximate molecular mass of 2-12 kDa are of considerable relevance in sports drug testing. Such peptides have been used to manipulate several potential performance-enhancing processes in the athlete's body and include for example growth hormone releasing hormones (sermorelin, CJC-1293, CJC-1295, tesamorelin), synthetic/animal insulins (lispro, aspart, glulisine, glargine, detemir, degludec, bovine and porcine insulin), synthetic ACTH (synacthen), synthetic IGF-I (longR(3) -IGF-I) and mechano growth factors (human MGF, modified human MGF, 'full-length' MGF). A combined initial test method using one analytical procedure is a desirable tool in doping controls and related disciplines as requests for higher sample throughput with utmost comprehensiveness preferably at reduced costs are constantly issued. An approach modified from an earlier assay proved fit-for-purpose employing pre-concentration of all target analytes by means of ultrafiltration, immunoaffinity purification with coated paramagnetic beads, nano-ultra high performance liquid chromatography (UHPLC) separation, and subsequent detection by means of high resolution tandem mass spectrometry. The method was shown to be applicable to blood and urine samples, which represent the most common doping control specimens. The method was validated considering the parameters specificity, recovery (11-69%), linearity, imprecision (<25%), limit of detection (5-100 pg in urine, 0.1-2 ng in plasma), and ion suppression. The analysis of administration study samples for insulin degludec, detemir, aspart, and synacthen provided the essential data for the proof-of-principle of the method.