How much ibuprofen causes false positive
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Ibuprofen and Tylenol cannot cause a false positive. Sudafed or Benedryl may cause a false positive for certain illegal drugs in an instant test
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For example, ibuprofen can cause false-positive test results for cannabis detection, pseudoephedrine and trazadone can cause false positives
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Ibuprofen and dextromethorphan are known to cause false-positive results Sertraline can cause false-positive results in some benzodiazepines immunoassays.
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'False-Positive' and 'False-Negative' Test Results in Clinical Urine Drug Testing For example, ibuprofen can cause false-positive test
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Plus info on how much THC is in hemp oil and CBD products.In fact, one study found that ibuprofen caused a false-positive on a marijuana drug
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Painkillers: Ibuprofen and naproxen can cause a false-positive for THC. Cold medicines: Some cold medicines can cause a false-positive for
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How Much Ibuprofen Can Cause a False Positive Drug Test? 8 milligrams of Ibuprofen can cause a false positive drug test. How Can I Flush
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Ibuprofen and Tylenol cannot cause a false positive. Sudafed or Benedryl may cause a false positive for certain illegal drugs in an instant test.
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For example, ibuprofen can cause false-positive test results for cannabis detection, pseudoephedrine and trazadone can cause false positives
Comments
It's not like "Let me immediately take action based on belief in the complete accuracy of a single medical report" isn't the norm in such stories. Arguably, her real fault wasn't in sleeping around, it was in going home and thinking there was going to be a marriage left after she blew it up.
(And, to be honest, I'm sure many of the readers don't actually understand how false positives work. If you get a positive result on a 99% accurate test, that doesn't mean there's only a 1% chance of it being wrong.
On rare diseases, a positive result is very likely to be a false one, simply by the weight of numbers: If a test is 99% accurate, and 100,000 people get tested for a disease that only 500 of them have, then you're going to end up with 495 true positive results (99% of the sick people got accurate results) and 995 false positive results (1% of the healthy people got inaccurate results). In case like this, that would mean that a positive result in a 99% accurate test is only actually a ~33% chance that you have the disease.
tl;dr: The doctor was an idiot, and the ending should have included a malpractice lawsuit for failing basic math.)