2018
DOI: 10.1080/10408444.2018.1553935
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Definitive urine drug testing in office-based opioid treatment: a literature review

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Cited by 10 publications
(8 citation statements)
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“…The use of saliva for the verification of drug use allows a less invasive sample collection and increases the difficulty of adulterating the sample [12][13][14] , being progressively more prioritized by government authorities, in cases of traffic accidents under the influence of such substances 15 , in monitoring of drug addicts 16 , as a clinical toxicology, to control the use of psychotropic substances in employees 17 , and even in sports, with anti-doping tests 18 .…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The use of saliva for the verification of drug use allows a less invasive sample collection and increases the difficulty of adulterating the sample [12][13][14] , being progressively more prioritized by government authorities, in cases of traffic accidents under the influence of such substances 15 , in monitoring of drug addicts 16 , as a clinical toxicology, to control the use of psychotropic substances in employees 17 , and even in sports, with anti-doping tests 18 .…”
Section: Introductionmentioning
confidence: 99%
“…Most of the preliminary tests used today, for field analysis, employ immunoassays, in which color changes are obtained for certain substances. These tests are easy to produce, cheap, fast and portable, but are mostly applied to urine 14,16,19 .…”
Section: Introductionmentioning
confidence: 99%
“…Urine can identify recent drug use within days of the sample collection. Urine is an excellent way to identify nicotine, opiates, cocaine, and amphetamines [ 7 , 18 ]. On this note, screening and confirmation testing are the two main types of urine drug tests.…”
Section: Biological Matricesmentioning
confidence: 99%
“…[21][22][23] Moreover, statistical outliers in billing frequencies may reflect providers' real concerns about undertreating a patient. 22,26,27 Other potential indicators of unethical SUD treatment practices are not recorded in an insurance claim and thus would be missed in a claims data-based algorithm. In our interviews, stakeholders mentioned several such potential indicators: incongruence between the listed and actual owner of a treatment facility; lack of appropriate certification or licensure; the presence of different limited liability companies for physician groups, facilities, and laboratories; laboratory name changes; unwillingness to provide medical records to insurers; same accounts being used to pay multiple insurance premiums; incentives offered to attend specific facilities; misleading media claims or online advertisements; and the absence of staff names on facility websites.…”
Section: Limitations In Algorithm-based Fraud Detectionmentioning
confidence: 99%
“…However, from claims data, one cannot ascribe intent—claims may reflect data entry errors, be outright false (no services provided), be an exaggeration of the number or intensity of services provided, or may reflect provided, but unnecessary, services 21–23 . Moreover, statistical outliers in billing frequencies may reflect providers' real concerns about under treating a patient 22,26,27 …”
Section: Limitations In Algorithm‐based Fraud Detectionmentioning
confidence: 99%