I stopped taking propecia 6 months ago, after having taken it for 18 months. I believe the drug did stop my hairloss and I may have even gained some growth. I stopped taking the drug however, as I became very uneasy with it and the side effects. I am now using regain extra strength. My hairloss has returned and continued as expected. I am now seriously considering a transplant, but do not wish to go back on propecia. As my hairloss is very slow (over the passed 17 years), is it okay to undergo a transplant, but not use propecia?
Propecia is a great medication, but to a minority of patients the unwanted side effects may be an issues (as it is in your case).
You do not have to be on Propecia for a hair transplant surgery, but if you are under 30 years old and started to lose hair in the past 5-8 years, you run a risk of developing hair transplant shock with loss of hair from the transplant. I don’t know your age, but you mentioned losing hair for 17 years, so I’d assume you’re over 30. You still run the risk of shock loss, but it is less. Plus, without the medication the progressive nature of hair loss will cause your native hairs to continue falling out. As long as you know these facts, it is a decision you and your doctor need to make together.
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It sounds like you have developed a skin allergy to the product. This can happen. Perhaps you’re allergic to an ingredient in the Provillus, particularly if you say they changed the product before you ordered another shipment. I really don’t have any way of knowing. You can try using regular minoxidil, which is the active ingredient in Provillus. Then again, minoxidil itself is known to cause skin irritation in some people (see 
Studies are great, but often difficult to dissect from a scientific perspective. Reading about the final results is one thing, but one must always have critical thinking. What I mean by this is that you must think of the motivation behind a study, and if the researchers will benefit from it (for example, by selling more product). Also, the methods used and the sample size are very important. The list goes on and on. Because of this, most studies are fairly weak. 