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  2. Pan-assay interference compounds - Wikipedia

    en.wikipedia.org/wiki/Pan-assay_interference...

    Diagram depicting a representative pan-assay interference compound. The drug-like molecule specifically interacts with target B, but the PAINS-like compound non-specifically interacts with multiple targets. Pan-assay interference compounds (PAINS) are chemical compounds that often give false positive results in high-throughput screens. [1]

  3. Drug test - Wikipedia

    en.wikipedia.org/wiki/Drug_test

    A drug test (also often toxicology screen or tox screen) is a technical analysis of a biological specimen, for example urine, hair, blood, breath, sweat, or oral fluid/saliva—to determine the presence or absence of specified parent drugs or their metabolites.

  4. New York punished 2,000 prisoners over false positive drug ...

    www.aol.com/news/york-punished-2-000-prisoners...

    New York’s prison system unfairly punished more than 2,000 prisoners after tests of suspected contraband substances falsely tested positive for drugs, according to a report released Thursday.

  5. 6-Monoacetylmorphine - Wikipedia

    en.wikipedia.org/wiki/6-monoacetylmorphine

    Since 6-MAM is a metabolite unique to heroin, its presence in the urine confirms heroin use. This is significant because a urine immunoassay drug screen typically tests for morphine, which is a metabolite of a number of legal and illegal opiates/opioids such as codeine, morphine sulfate, and heroin. Trace amounts of 6-MAM are excreted ...

  6. Marquis reagent - Wikipedia

    en.wikipedia.org/wiki/Marquis_reagent

    The above photo shows the positive results of the number 2 Marquis reagent presumptive drug test when used with a sample of opium. It is the primary presumptive test used in Ecstasy reagent testing kits. It can also be used to test for such substances as opiates (e.g. codeine, heroin), and phenethylamines (e.g. 2C-B, mescaline).

  7. False positives and false negatives - Wikipedia

    en.wikipedia.org/wiki/False_positives_and_false...

    The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.