Hydroxyzine is not known to cause false positives on drug tests for commonly abused substances such as opioids, cocaine, or amphetamines.
Hydroxyzine could potentially cause a false positive on a drug test IF the drug test was done with immunoassay technology. This technology
There are no scientific papers supporting hydroxyzine as a cause for false positive drug tests for benzodiazepines. I did a drug test to go
Hydroxyzine could potentially cause a false positive on a drug test IF the drug test was done with immunoassay technology. This technology
Hydroxyzine is not known to cause false positives on drug tests for commonly abused substances such as opioids, cocaine, or amphetamines.
Although there are reports of several drugs causing false-positives for benzodiazepines on drug tests (e.g, sertraline, oxaprozin), hydroxyzine has not been associated with it. If you tested positive for a benzodiazepine recently on a urine-based drug test, hydroxyzine likely was not the culprit.
It is possible for Hydroxyzine to cause a false positive on a drug test, depending on the type of test being used and the specific circumstances of your
Hydroxyzine could potentially cause a false positive on a drug test IF the drug test was done with immunoassay technology. This technology
Key points. Hydroxyzine is not known to cause false-positives for benzodiazepines on urine drug tests. However, it has been reported to cause false-positives for another class of drugs, tricyclic antidepressants.
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.)