Bupropion false positive drug test
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Bupropion is one of several medications that may cause a false positive on a urine drug test. Taking bupropion can lead to false positive results for
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many drugs with false positives. A case report also described a patient taking 300 mg of bupropion daily and testing falsely positive for
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Bupropion is one of several medications that may cause a false positive on a urine drug test. Learn how some drugs can cause false-positive
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bupropion daily and testing falsely positive for amphetamines. A reference test, which added bupropion to drug-free urine, showed that the
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bupropion daily and testing falsely positive for amphetamines. A reference test, which added bupropion to drug-free urine, showed that the
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many drugs with false positives. A case report also described a patient taking 300 mg of bupropion daily and testing falsely positive for
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Bupropion is one of several medications that may cause a false positive on a urine drug test. Learn how some drugs can cause false-positive
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Bupropion - may test false positive for MDMA (3,4-methylenedioxymethamphetamine). Bupropion - may test false positive for amphetamine and MDMA. Buproprion
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bupropion daily and testing falsely positive for amphetamines. A reference test, which added bupropion to drug-free urine, showed that the
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.)