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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.
Research in Dr. Lieberman's lab at the University of Notre Dame has reported false positive results on BTNX fentanyl testing strips with methamphetamine, MDMA, and diphenhydramine. [131] The sensitivity and specificity of fentanyl test strips vary depending on the concentration of fentanyl tested, particularly from 10 to 250 ng/mL. [132]
The report found the city vastly overstated the prevalence of fentanyl sent by mail to detainees. When investigators retested 71 pieces of mail initially flagged by field tests as containing fentanyl, only 10 actually showed traces of the drug. The drawing of a reindeer highlighted by Molina was fentanyl-free.
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]
Most people who take a drug test take a presumptive test, cheaper and faster than other methods of testing. However, it is less accurate and can render false results. The FDA recommends for confirmatory testing to be conducted and the placing of a warning label on the presumptive drug test: "This assay provides only a preliminary result.
Law enforcement officials warn that drug dealers now use fentanyl test strips on their pills and then post photos on social media to prove their drugs are “clean.”
Lollipops, lozenges and mouth sprays containing the addictive drug never should have been approved in the first place. | Opinion
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.