2/2017
vol. 30
Original paper
Cocaine testing in fitness-to-drive assessments: comparison between hair analysis, urinalysis and self-reports
- Institute of Forensic Medicine, Department of Traffic Sciences, University of Bern, Switzerland
Alcohol Drug Addict 2017; 30 (2): 103-112
Online publish date: 2017/09/27
Get citation
PlumX metrics:
INTRODUCTION
Illegal drug use is a global problem: The World Health Organization (WHO) estimates that in 2012 between 162 and 324 million people (3.5-7.0% of the world’s population aged 15-64) have used drugs at least once in the previous twelve months. Cannabis is the most commonly used substance in Europe, with an annual prevalence of 4.3% of those aged 15-64, followed by cocaine (0.7%), amphetamine- type stimulants and opioids (mostly heroin) [1].
Even in a small European country such as Switzerland with approximately 8.2 million inhabitants, the number of cocaine users in 2010 was estimated about 25,445 to 44,275 persons, who consumed around 3,770 to 7,540 kg cocaine (sales volume 369-520 million Swiss francs or US-$, respectively) [2]. Cocaine, chemically an alkaloid from the tropane group, is obtained mainly in South America from the leaves of the coca plant (bot. Erythroxylum coca Lam.) [3, 4]. It has a stimulating, activity-increasing and euphoric effect. Cocaine users can experience depression when the effects wear off as well as psychotic episodes. Cocaine affects the cardiopulmonary system by increasing respiratory and heart rate as well as blood pressure, and has a vasoconstrictive effect [5]. It is also known to have a local anaesthetic effect [6, 7].
The consumption of psychoactive substances is one of the major factors affecting driving performance leading to accidents [8-10]. In a study, the odds of being involved in a collision was 2.11 for cocaine users compared to non-users [11].
The “classical” method for detecting a drug use is immunoassay-based tests in urine or blood [12, 13]. For several years, hair analysis is used with increasing frequency for detecting the use of illicit drugs (and other substances) in different settings such as forensic populations, occupational screening and fitness-to-drive assessments [14-26]. Hair analysis and urinalysis have their specific advantages and limitations. Urinalysis is a simply performed and rather low-price method. The most important limitations are false-positive results due to immunological cross-reactions and the possible adulteration of the urine specimen, e.g. by dilution or substitution [27, 28]. In contrast, immunological cross-reactions do not exist in hair analysis performed by evidentiary methods such as liquid chromatography or gas chromatography coupled with mass spectrometry. However, the results may be difficult to interpret in the case of a possible external contamination [29, 30]. Furthermore, hair analysis can be manipulated by some hair cosmetics, e.g. bleaching. In most cases, such a treatment can easily be verified when taking a hair sample. There are products that promise to reduce drug concentration in hair, but these products seem to have only a slight effect: in a study, a decrease in cocaine concentration of 5% after the use of a “cleaning shampoo” was observed [31].
In Switzerland, a driver’s licence authority is obliged by law to commission a fitness-to-drive assessment:
a) if drugs with a high addictive potential are found with a driver (drug consumption not needed) or
b) in case of driving under influence (DUI) of a drug [32].
These assessments were performed by specialised physicians certified by the Swiss Society of Legal Medicine (“specialist in traffic medicine”) [33]. The key task of such an assessment is the objective clarification of the drug consumption pattern of the investigated subject, preferably over a period of several months. If the use of an illicit drug can be proven, an abstinence period of 6-12 months is demanded from the driver to re-grant the licence.
Before the introduction of hair analysis, only urinalysis were performed in fitness-to-drive assessments in Switzerland. Nowadays, the Swiss Society of Legal Medicine recommends for fitness-to-drive examinations urinalysis for assessing cannabis consumption and hair analysis for the use of other drugs as opiates, cocaine and amphetamines [34]. It is assumed that hair analysis will discover more clandestine cocaine users than urinalysis because of the longer time window of detection, but there are no published studies investigating if the use of hair analysis instead of urinalysis has objective advantages in fitness-to-drive assessments as carried out in Switzerland.
The aim of this study was to compare self-reports and the results of urinalysis and hair analysis for the detection of cocaine consumption in the fitness-to-drive assessment procedure used in Switzerland. We hypothesised that hair analysis will detect a higher number of clandestine cocaine users than urinalysis.
MATERIAL AND METHODS
Study population
All medical records from individuals with a history or suspicion of drug use examined between 2010 and 2012 in the Department of Traffic Sciences of the Institute of Forensic Medicine, University of Bern, were retrospectively analysed. Further inclusion criteria were complete results of hair analysis and urine rapid tests, no cosmetic hair treatment as well full anamnestic information. The reports were drawn up in the context of a fitness-to-drive assessment at the request of a driving licence authority. The competent Ethics Committee of the Canton of Berne explained that, for retrospective data analyses, as in this case, no permission must be obtained from the subject (Decision KEK-No. Z048/13). The University privacy policy has been observed.
Anamnestic information
As part of the assessment, physicians collected anamnestic declarations concerning drug use. The physicians were all trained by one of the authors (MP) for minimalising interviewer bias and the anamnestic assessment was based on the recommendations of the Swiss Society of Legal Medicine referring to this matter [34]. The complete history of drug consumption was evaluated though the focus was on the time period overviewed by hair analysis. The assessments took one to two hours to complete (including physical examination and collection of hair and urine). Furthermore, information about the use of alcohol, medication, personal medical history, and possible cosmetic hair treatments were collected.
Urinalysis
Each person gave a urine sample during the course of the assessment. The urine was collected in a disposable cup with no additives and analysed immediately after delivery by trained personnel. To prevent urine manipulation, an inspection and a temperature measurement was carried out; urine samples with a temperature of < 32°C and with sensory abnormalities (colour, smell, foam formation, flocculation, crystalline sediment and the like), nitrite > 500 mg/L and pH < 3 or > 11 were considered to be manipulated and not used.
The urinalysis was performed with a Drug Screen Multi-12A®-Test Panel according to the manufacturer’s guidelines (Nal von Minden GmbH, 47441 Moers, Germany). The performing person carried out the reading of the tests visually. In this test, there is a panel of twelve single sandwich immune assays for opiates, methadone, cocaine, amphetamine, me¬tham¬phetamine, 3,4-methylenedioxy-metham¬phetamine (MDMA, ecstasy), cannabinoids, ben¬zodiazepines, barbiturates, buprenorphine, tra¬madol and tricyclic antidepressants. The immunoassay for cocaine has a cut-off value of 300 ng/ml (calibrator benzoylecgonine).
Analysis of hair samples
At least two hair samples were taken from each subject. They were taken from the vertex or the occiput of the head. If the head hair was too short or the test subject refused consent to provide a sample of head hair, body hair from the legs, arms or chest was shaved. If consent was provided to take a sample of scalp hair, a lock as thick as a pencil was tied with a string and then cut as close to the skin as possible using a scissor. The length of the scalp stubble was measured. Head or body hair was protected from light in wrapped aluminium foil and immediately sent to the analysing laboratory.
Hair samples were washed with three solvents (water, acetone, diethylether, 4 mL each) prior to cutting into approx. 1-3 mm pieces with scissors. 30 mg of the homogenised material was extracted by adding 1 mL methanol in a 2 mL micro-vial and treatment in an ultrasonication bath for two hours. Extracts were evaporated to dryness under a nitrogen-stream, and re-dissolved in 100 µL of HPLC-eluents A/B 95/5 (v/v). The LC-MS/MS system consisted of a binary gradient HPLC 1100 (Agilent) and a Qtrap 3200 hybrid triple-quadrupole ion trap tandem-mass spectrometer (Sciex).Solvent A was 0.1% formic acid/water and solvent B was 0.1% formic acid in acetonitrile. Gradient elution was performed from 5% solvent B linear to 95% B in 7 minutes with a flow rate of 0.4 mL/min. Separation was performed with a Luna PFP reversed phase column 150 x 2.0 mm, 5 µm (Phenomenex). Two fragment-ions of each compound (cocaine, benzoylecgonine, ecgonine methylester and cocaethylene) were monitored, and one transition of each of their deuterated standards – which had been added to the methanol prior to extraction. Limits of quantitation cocaine and metabolites were 100 pg/mg, however, for cocaine a threshold was set to 500 pg/mg according to SOHT guidelines to avoid detection of hair contamination [35]. Besides cocaine and its metabolites, the following substances were included in the same procedure: amphetamine, methamphetamine, MDMA, MDEA, MDE, morphine, 6-monoacetyl-morphine, codeine, methadone, EDDP, tramadol – with their deuterated standards. Furthermore, fragment-ions of heroine, LSD, modafinil, zolpidem and methyl¬phenidate were monitored as well, without any deuterated analogues included in the analysis.
In this study, the hair sample was counted as positive for cocaine when cocaine, benzoylecgonine, ecgonine methyl ester and/or cocaethylene were detected in the hair. In segmented hair samples, only the result of segment close to the head was included.
Statistical analysis
The data was analysed using the SPSS Statistics 20 program for Windows (SPSS Inc., Chicago, USA). The results shown in Tables I-III and Figure 1 were obtained by using descriptive data analysis. The comparison of the nominal-scaled variable «sex» was performed using the χ2 test. The interval-scaled variables (not normally distributed, tested using the Kolmogorov-Smirnov-test) were compared by using the Mann-Whitney-test. The level for statistical significance was set to p < 0.05.
RESULTS
The study was performed in a population of 311 subjects, 284 men and 27 women aged 18-62 years (mean age 32.5 years). Characteristics of the study population can be found in Table I.
Head hair specimens were obtained from 226 subjects and non-head hair specimens from 85 subjects (66 subjects provided leg hair, 14 chest hair and 5 arm hair). The mean time frame of detection by hair analysis in all subjects was 4.3 months (range 1-12 months). The group that tested positive for cocaine use had a statistically significant shorter time frame of detection (Table I).
38 subjects admitted the use of cocaine. Of these, 7 showed also a positive result in urinalysis and 30 tested positive in hair analysis (Table II and III).
Of the 273 subjects who denied cocaine consumption, no one tested positive in urinalysis, but in 54 cases a positive result was obtained in hair analysis (Table II and III).
All subjects with a positive urinalysis tested positive in hair analysis (Table II). In 8 cases hair analysis was negative for cocaine despite of anamnestic declaration of use.
There were no statistically significant differences in gender, age and investigated traffic offences (driving under influence of drugs and/or alcohol, speeding, other traffic offences) between the groups with a negative and a positive result for cocaine in hair analysis.
Other substances were found in the hair analysis that was positive for cocaine; the most common of these were amphetamine-type stimulants drugs including amphetamine, methamphetamine and MDMA. Cannabis was not analysed in the hair but 21 subjects with positive hair analysis for cocaine admitted also the consumption of cannabis (Figure 1).
DISCUSSION
The use of cocaine, one of the most commonly used illicit substances, can have a devastating impact on road safety [8-11]. The detection of cocaine use is therefore of great significance in traffic medicine.
Several studies described the advantage of hair analysis for fitness-to-drive purpose [14-18]. One study presented only case reports [16], the others compared hair analysis and urinalysis [14, 15, 18] or highlighted the experience with hair analysis [17]. This study is the first comparing self-reports with the results of hair analysis and urinalysis in a Swiss fitness-to-drive assessment setting.
The present study shows that the detection rate of cocaine using hair analysis is approximately 12 times higher than urine immunoassays. However, this result can be attributed not only to purely analytical reasons. In our study, the subjects know approximately 1-2 month in advance the examination date and may thus (temporarily) end their cocaine consumption. This factor is certainly also reflected in the low number of cocaine-positive urine tests compared with the results of the hair analysis and the anamnestic data: 38 subjects admitted a cocaine use, but only 7 of them had a positive result for cocaine in the urine test. Immu¬noassays test is positive only within a window of a few days following cocaine consumption [36]. Furthermore, for assessing fitness-to-drive in relation to a drug abuse, the consumer behaviour over a longer period of time is of importance and not only a “snap-shot” of a few days. And for this purpose, hair analysis is an appropriate method.
In this study, the superiority of hair analysis compared with urinalysis was almost at the same degree as that described in the study of Martinez et al. for a male population living on the Arizona-Mexico border [37]. In comparison to this study, Dufaux et al. [14] and Mieczkowski et al. [38] described smaller positivity rates in hair for cocaine than in urine (3.8-fold and 2.3-fold respectively). That can be explained with the different circumstances of testing. In an abstinence programme, participants are interested in living drug-free for re-granting their driving licence. Quite the contrary, in a fitness-to-drive assessment, subjects try to hide their drug consumption to avoid driving licence withdrawal. Referring to the study of Mieczkowski et al., it can be supposed that there is a high proportion of regular drug users in an arrestee population and so, the correlation between results of hair analysis and urinalysis is higher than in our study population.
A further advantage of hair analysis is the uncomplicated collection of the sample material. A urine collection under surveillance can be an unpleasant and embarrassing situation for the test subject. Moreover, there are almost no known manipulation possibilities for hair analysis. A hair cosmetic treatment (bleaching or colouring) which can influence the detection of cocaine can be recognised most of the time while harvesting the sample [39, 40]. For urine rapid tests, however, a variety of possibilities for manipulation have been described in the literature [41, 42].
One advantage of the urine rapid test is the readily available result if using a “bedside” test panel as in this study. The subject can be confronted directly upon a positive finding, a motivation to give correct or additional information on the consumer behaviour. But immunoassays such as the panel used by us are always fraught with the risk of false-positive results and never to be regarded as conclusive due to the mechanism of action (antigen-antibody reaction). Immunoassays for cocaine show only a few cross reactions as described in the literature [43, 44]. Using hair analysis the drug that is targeted, as well as its metabolites, is detected directly by confirmatory analysis (chromatographic methods coupled to mass spectrometry). In this study, the target was cocaine, benzoylecgonine and ecgoninemethylester. The risk of cross-reaction is thus not present.
The relatively small discrepancy between cocaine evidence in hair and the anamnestic data (1.4 times) in this study can be explained by the fact that cocaine consumption had already been proven in connection with previous driving under influence of drugs offences in the most of the subjects, facts that are well known to the experts. Thus, the subjects had little reason to conceal consumption (at least in the past). Musshoff et al. have also noticed this observation in a population taking part in an official methadone maintenance programme [22].
Cocaine was demonstrated in 54 of 273 subjects, who denied consumption of this substance. This fact shows that the hair analysis for cocaine is also useful for monitoring cocaine abstinence. This result is also confirmed in other studies, in which a cocaine use was dramatically underreported [21, 45-50].
In 8 cases, cocaine was not detected in the hair analysis despite the subject’s admission of consumption. This can be explained by consumption outside the examined period of time or by consumption in very low levels, therefore cocaine and its metabolites did not exceed the limit of detection in hair analysis.
Cocaine is often not the only substance that was consumed. Most frequently, cocaine users consumed additionally cannabis (21 of 84 subjects) and amphetamines (30 of 84 subjects), rare opiates and methadone (included substitution treatment). For cannabis, the anamnestic data was used, since THC and metabolites were not analysed by hair analysis in this study. These results reflect well the most commonly consumed drugs in Switzerland (cannabis, cocaine, amphetamines) [51]. A driving capacity assessment should not search for an isolated drug. Due to the high frequency of consumption of several substances, the screening should be carried out additionally for, as an example, opiates, cocaine, amphetamines and cannabis. The hair analysis is ideal for this.
The subject population showed a clear predominance of men. This is consistent with the data in the literature describing a higher frequency of cocaine use among men [51], and is also evidence that the present study population is comparable to the general population.
It is interesting that almost every second subject committed a driving under influence of alcohol offence and that every fourth subject was known by the authorities for driving under combined influence of drugs and alcohol. Furthermore, every subject has committed on average 1.27 other non-substance related traffic offences (crimes that lead to a warning or a driver’s licence revocation, no violations which are punishable only by a fine). Educational interventions and campaigns should focus on the issue of driving under influence of drugs as well as on other traffic related hazardous behaviours (alcohol consumption, speeding etc.).
Our results show that the hypothesis of the study was correct and that hair analysis is the method of choice if drug consumption behaviour has to be controlled over a longer period as in fitness-to-drive assessments or drug rehabilitation programmes. Urine testing for drugs should be used if a short-term use is in question as in cases of suspected drug intoxication or in cases of supposed driving under influence. If drug testing is planned, the following questions should always be answered: Which time frame of detection is required? Urine testing by immune assays for cocaine can only overview a period of 2 to 3 days whereas hair analysis covers a period of several months, depending on the length of the collected hair.
The study has some limitations. It was conducted in a single centre and the results are only applicable for the studied population. Also the number of study subjects is rather low. The positive results of immunoassays in urine were not verified with confirmatory methods; but the validation of immunoassays was not aim of this study.
CONCLUSIONS
Hair analysis is more effective than urinalysis and self-reports in identifying cocaine users in a fitness-to-drive assessment setting. In this study, the detection rate of cocaine use with hair analysis is approximately 12-fold that of urinalysis. Hair analysis should be included in every fitness-to-drive assessment in subjects suspected of cocaine use. Due to the frequent use of multiple substances, there should always be a screening of the usual drugs as part of a fitness-to-drive assessment. The indication for hair analysis or urine testing should always be dependent on the question of the required detection time frame.
Conflict of interest/Konflikt interesów
None declared./Nie występuje.
Financial support/Finansowanie
None declared./Nie występuje.
Ethics/Etyka
The work described in this article has been carried out in accordance with the Code of Ethics of the World Medical Association (Declaration of Helsinki) on medical research involving human subjects, EU Directive (210/63/EU) on protection of animals used for scientific purposes, Uniform Requirements for manuscripts submitted to biomedical journals and the ethical principles defined in the Farmington Consensus of 1997.
Treści przedstawione w pracy są zgodne z zasadami Deklaracji Helsińskiej odnoszącymi się do badań z udziałem ludzi, dyrektywami EU dotyczącymi ochrony zwierząt używanych do celów naukowych, ujednoliconymi wymaganiami dla czasopism biomedycznych oraz z zasadami etycznymi określonymi w Porozumieniu z Farmington w 1997 roku.
References/Piśmiennictwo
1. United Nations Office on Drugs and Crime (UNODC). World Drug Report 2014. Available at: http://www.unodc.org/documents/wdr2014/World_Drug_Report_2014_web.pdf; 2014 [Accessed 14.12.2016].
2. Flury R. Der Kokainmarkt Schweiz. Suchtmagazin 2010; 36: 33-6.
3. Goldstein RA, DesLauriers C, Burda A, Johnson-Arbor K. Cocaine: history, social implications, and toxicity: a review. Semin Diagn Pathol 2009; 26: 10-7.
4. Karch SB. Cocaine: history, use, abuse. J R Soc Med 1999; 92: 393-7.
5. Bhargava S, Arora RR. Cocaine and cardiovascular complications. Am J Ther 2011; 18: e95-e100.
6. Tang Y, Martin NL, Cotes RO. Cocaine-induced psychotic disorders: presentation, mechanism, and management. J Dual Diagn 2014; 10: 98-105.
7. Stulz N, Thase ME, Gallop R, Crits-Christoph P. Psychosocial treatments for cocaine dependence: the role of depressive symptoms. Drug Alcohol Depend 2011; 114: 41-8.
8. Elvik R. Risk of road accident associated with the use of drugs: a systematic review and meta-analysis of evidence from epidemiological studies. Accid Anal Prev 2013; 60: 254-67.
9. MacDonald S, Mann R, Chipman M, Pakula B, Erickson P, Hathaway A, et al. Driving behavior under the influence of cannabis or cocaine. Traffic Inj Prev 2008; 9: 190-4.
10. Hels T, Lyckegaard A, Simonsen KW, Steentoft A, Bernhoft IM. Risk of severe driver injury by driving with psychoactive substances. Accid Anal Prev 2013; 59: 346-56.
11. Stoduto G, Mann RE, Ialomiteanu A, Wickens CM, Brands B. Examining the link between collision involvement and cocaine use. Drug Alcohol Depend 2012; 123: 260-3.
12. Nelson ZJ, Stellpflug SJ, Engebretsen KM. What Can a Urine Drug Screening Immunoassay Really Tell Us? J Pharm Pract 2015; 29: 516-26.
13. Tenore PL. Advanced urine toxicology testing. J Addict Dis 2010; 29: 436-48.
14. Dufaux B, Agius R, Nadulski T, Kahl HG. Comparison of urine and hair testing for drugs of abuse in the control of abstinence in driver’s license re-granting. Drug Test Anal 2012; 4: 415-9.
15. Tagliaro F, De Battisti Z, Lubli G, Neri C, Manetto G, Marigo M. Integrated use of hair analysis to investigate the physical fitness to obtain the driving licence: a casework study. Forensic Sci Int 1997; 84: 129-35.
16. Polla M, Stramesi C, Pichini S, Palmi I, Vignali C, Dall’Olio G. Hair testing is superior to urine to disclose cocaine consumption in driver’s licence regranting. Forensic Sci Int 2009; 189: e41-3.
17. Tassoni G, Mirtella D, Zampi M, Ferrante L, Cippitelli M, Cognigni E, et al. Hair analysis in order to evaluate drug abuse in driver’s license regranting procedures. Forensic Sci Int 2014; 244: 16-9.
18. Ricossa MC, Bernini M, De Ferrari F. Hair analysis for driving licence in cocaine and heroin users. An epidemiological study. Forensic Sci Int 2000; 107: 301-8.
19. McPhillips MA, Kelly FJ, Barnes TR, Duke PJ, Gene-Cos N, Clark K. Detecting comorbid substance misuse among people with schizophrenia in the community: a study comparing the results of questionnaires with analysis of hair and urine. Schizophr Res 1997; 25: 141-8.
20. Haller DL, Acosta MC, Lewis D, Miles DR, Schiano T, Shapiro PA, et al. Hair analysis versus conventional methods of drug testing in substance abusers seeking organ transplantation. Am J Transplant 2010; 10: 1305-11.
21. Mieczkowski T, Newel R, Wraight B. Using hair analysis, urinalysis, and self-reports to estimate drug use in a sample of detained juveniles. Subst Use Misuse 1998; 33: 1547-67.
22. Musshoff F, Driever F, Lachenmeier K, Lachenmeier DW, Banger M, Madea B. Results of hair analyses for drugs of abuse and comparison with self-reports and urine tests. Forensic Sci Int 2006; 156: 118-23.
23. Pichini S, De Luca R, Pellegrini M, Marchei E, Rotolo MC, Spoletini R, et al. Hair and urine testing to assess drugs of abuse consumption in couples undergoing assisted reproductive technology (ART). Forensic Sci Int 2012; 218: 57-61.
24. Falcon M, Valero F, Pellegrini M, Rotolo MC, Scaravelli G, Joya J, et al. Exposure to psychoactive substances in women who request voluntary termination of pregnancy assessed by serum and hair testing. Forensic Sci Int 2010; 196: 22-6.
25. Mieczkowski T. Drug testing the police: some results of urinalysis and hair analysis in a major US metropolitan police force. J Clin Forensic Med 2004; 11: 115-22.
26. Tsanaclis LM, Wicks JF, Chasin AA. Workplace drug testing, different matrices different objectives. Drug Test Anal 2012; 4: 83-8.
27. Moeller KE, Lee KC, Kissack JC. Urine drug screening: practical guide for clinicians. Mayo Clin Proc 2008; 83: 66-76.
28. Phan HM, Yoshizuka K, Murry DJ, Perry PJ. Drug testing in the workplace. Pharmacotherapy 2012; 32: 649-56.
29. Tsanaclis L, Wicks JF. Differentiation between drug use and environmental contamination when testing for drugs in hair. Forensic Sci Int 2008; 176: 19-22.
30. Paterson S, Lee S, Cordero R. Analysis of hair after contamination with blood containing cocaine and blood containing benzoylecgonine. Forensic Sci Int 2010; 194: 94-6.
31. Rohrich J, Zorntlein S, Potsch L, Skopp G, Becker J. Effect of the shampoo Ultra Clean on drug concentrations in human hair. Int J Legal Med 2000; 113: 102-6.
32. The Federal Authorities of the Swiss Confederation. Federal Act of 19 Decemeber 1958 on Road Traffic (Strassenverkehrsgesetz), 2016. Available at: https://www.admin.ch/opc/de/classified-compilation/19580266/index.html [Accessed 14.12.2016].
33. The Federal Authorities of the Swiss Confederation. Federal Regulation of the admission of persons to road traffic (Verkehrszulassungsverordnung), 2016. Available at: https://www. admin.ch/opc/de/classified-compilation/19760247/index.html [Accessed 14.12.2016].
34. Swiss Society of Legal Medicine. Die verkehrsmedizinische Untersuchung Teil B (The fitness to drive assessment Part B), 2016. Available at: https://www.sgrm.ch/inhalte/Verkehrsmedizin/VM.standards_unt.TeilB.Feb_2013_02.pdf [Accessed 14.12.2016].
35. Society of Hair Testing. Society of Hair Testing guidelines for drug testing in hair, 2011. Available at: http://www.soht.org/index.php/statements/9-nicht-kategorisiert/85-statement- 2011 [Accessed 14.12.2016].
36. Schutz H, Paine A, Erdmann F, Weiler G, Verhoff MA. Immunoassays for drug screening in urine: Chances, challenges, and pitfalls. Forensic Sci Med Pathol 2006; 2: 75-83.
37. Martinez F, Poet TS, Pillai R, Erickson J, Estrada AL, Watson RR. Cocaine metabolite (benzoylecgonine) in hair and urine of drug users. J Anal Toxicol 1993; 17: 138-42.
38. Mieczkowski T, Barzelay D, Gropper B, Wish E. Concordance of three measures of cocaine use in an arrestee population: hair, urine, and self-report. J Psychoactive Drugs 1991; 23: 241-9.
39. Gambelunghe C, Rossi R, Ferranti C, Rossi R, Bacci M. Hair analysis by GC/MS/MS to verify abuse of drugs. J Appl Toxicol 2005; 25: 205-11.
40. Agius R. Utility of coloured hair for the detection of drugs and alcohol. Drug Test Anal 2014; 6 Suppl 1: 110-9.
41. Jaffee WB, Trucco E, Levy S, Weiss RD. Is this urine really negative? A systematic review of tampering methods in urine drug screening and testing. J Subst Abuse Treat 2007; 33: 33-42.
42. Floren AE. Urine drug screening and the family physician. Am Fam Physician 1994; 49: 1441-7.
43. Vincent EC, Zebelman A, Goodwin C, Stephens MM. Clinical inquiries. What common substances can cause false positives on urine screens for drugs of abuse? J Fam Pract 2006; 55: 893-4, 7.
44. Brahm NC, Yeager LL, Fox MD, Farmer KC, Palmer TA. Commonly prescribed medications and potential false-positive urine drug screens. Am J Health Syst Pharm 2010; 67: 1344-50.
45. Feucht T, Stevens M, Walker M. Drug use among juvenile arrestees: a comparison of self-report, urinalysis, and hair assays. J Drug Issues 1994; 24: 99-116.
46. DuPont RL, Baumgartner WA. Drug testing by urine and hair analysis: complementary features and scientific issues. Forensic Sci Int 1995; 70: 63-76.
47. Magura S, Kang SY. Validity of self-reported drug use in high risk populations: a metaanalytical review. Subst Use Misuse 1996; 31: 1131-53.
48. Magura S, Kang SY. The validity of self-reported cocaine use in two high-risk populations. NIDA Res Monogr 1997; 167: 227-46.
49. Ursitti F, Klein J, Sellers E, Koren G. Use of hair analysis for confirmation of self-reported cocaine use in users with negative urine tests. J Toxicol Clin Toxicol 2001; 39: 361-6.
50. Myrick H, Henderson S, Dansky B, Pelic C, Brady KT. Clinical characteristics of underreporters on urine drug screens in a cocaine treatment study. Am J Addict 2002; 11: 255-61.
51. Swiss Federal Office of Public Health. Konsum illegaler Drogen in der Schweiz im Jahr 2013 (Consumption of illicits drugs in Switzerland 2013). Berne: Swiss Federal Office of Public Health; 2014.
This is an Open Access journal distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode), allowing third parties to download and share its works but not commercially purposes or to create derivative works.
|
|