De-prescription: the medicine of subtraction
He arrived on five psychiatric medications and could not say what three of them were for. Neither, it turned out, could his chart: an SSRI from 2016, an antipsychotic added “for sleep” in 2018, a benzodiazepine from a bad year, a z-drug layered on top of it, and a stimulant prescribed for the fog the other four were causing. His chief complaint was not depression. It was that he could no longer think.
The archaeology
De-prescribing begins as history-taking: when was each agent added, against what symptom, with what result — and what was never removed. His Brain Map read the accumulation the way an auditor reads books. The SSRI had done real receptor work in 2016 and likely still was. The antipsychotic's only demonstrable contribution, at his dose, was histaminergic sedation — duplicating the z-drug. The benzodiazepine and stimulant were, functionally, treating each other.
One variable at a time
The rule of safe de-prescription is the rule of any honest experiment: change one thing, then measure. We sequenced the taper over seven months — z-drug first, antipsychotic second, benzodiazepine last and slowest — with his sleep monitored continuously against baseline, because objective sleep data is where withdrawal shows first and where reassurance lives when a bad week is just a bad week. Twice the data caught rebound insomnia early enough to slow the taper rather than abandon it; once it showed a “relapse” was two weeks of ordinary bad sleep, not the depression returning.
Where he ended
Two medications: the original SSRI and a stimulant at half its former dose, now doing legible work against measured attention testing rather than against fog of pharmacologic origin. His words at the closing review were the entire argument for this practice: “Nobody ever subtracted before.”
What this case teaches
Polypharmacy is rarely built by one decision; it accretes, each agent reasonable at the time. Undoing it safely requires a map of what each drug is actually contributing, a taper sequenced one variable at a time, and measurement dense enough to distinguish withdrawal from relapse. Subtraction, done properly, is treatment.
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