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Determination of illicit drug cutoff values in a pain patient population
Robert West
, Amadeo J. Pesce
,
Bridgit Crews
, Charles Mikel
, Murray Rosenthal
, Perla Almazan
, Sergey Latyshev
, Cameron West
Division of Laboratory and Genomic Medicine
Research output
:
Contribution to journal
›
Article
›
peer-review
12
Scopus citations
Overview
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Keyphrases
Patient Demographics
100%
Illicit Drugs
100%
Pain Patients
100%
Urinary Excretion
66%
Methamphetamine
66%
Benzoylecgonine
66%
Drug Excretion
66%
Creatinine
33%
Dynamic Range
33%
Nonparametric
33%
Analytical Method
33%
Limit of Quantification
33%
Drug Concentration
33%
Marijuana
33%
Liquid Chromatography-tandem Mass Spectrometry (LC-MS/MS)
33%
Expected Range
33%
Frequency Distribution
33%
Cocaine Use
33%
Positivity Rate
33%
Methamphetamine Use
33%
False-positive Test
33%
Cut-off Level
33%
SAMHSA
33%
Carboxy-THC
33%
Biochemistry, Genetics and Molecular Biology
Urinary Excretion
100%
Liquid Chromatography-Mass Spectrometry
100%
Benzoylecgonine
100%
Drug Excretion
100%
Prevalence
50%
Tandem Mass Spectrometry
50%
Drug Concentration
50%
Creatinine
50%
Pharmacology, Toxicology and Pharmaceutical Science
Drug Excretion
100%
Benzoylecgonine
100%
Prevalence
50%
Creatinine
50%
Cannabis
50%
Drug Concentration
50%