General

How drug brands fought off-label prescribing to survive: real FDA cases, litigation wins, and what AI monitoring means for pharmacovigilance […]

There’s a strange thing that happens in antidepressant discussions: everyone talks about the start (the “it finally kicked in” moment),

There’s a quiet pattern in drug questions that shows up again and again: not “does it work?” but “what will

Nobody switches drugs because they want to. They switch because something stops working. If you strip away the clinical jargon

When a patient asks ChatGPT whether they should take Ozempic or Wegovy, they are not reading your brand’s prescribing information,

The medical science liaison had just finished a physician meeting when the rep on the account pulled out his phone.

A hospitalist in Cleveland needs to know the renal dosing adjustment for a patient on apixaban with a creatinine clearance

Clinical trials are tidy. Patients are not. In papers, drugs are taken on schedule, at fixed doses, with carefully controlled

A quiet tour through how drugs escape their instructions—and what that says about modern demand There’s a peculiar irony in

Side effects, safety signals, and the uncomfortable gap between “works” and “well tolerated” Drug development has a habit of looking

A patient types a question into ChatGPT: “Can I take metformin and ibuprofen together?” The AI answers in seconds —

Before a drug problem reaches the FDA, it travels through the internet. A cluster of patient forum posts. A Reddit