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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.
The review by the Department of Investigation found DetectaChem’s test strips had a false positive rate of 79%, while Sirchie’s were wrong 91% of the time. Inquiries to Sirchie were not returned. Travis Kisner, the chief operating officer of DetectaChem, said the company was still reviewing the report, but added: “We stand behind our ...
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]
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]
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.”
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.
In 2021, more than 71,000 people in the U.S. died after overdoses involving synthetic opioids—mostly fentanyl, according to provisional data released by the National Center for Health Statistics ...
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.