Finasteride Tablet, Film Coated
Product Images NDC 57237-061

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Finasteride (NDC 57237-061). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Rising Pharma Holdings, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Figure 1 (Finasteride Fig1)

Figure 1 (Finasteride Fig1)
The text is showing data related to the mean change in hair count from baseline, with the number of hairs in a 1-inch diameter circle, and highlighting the effect of finasteride (1mg) on hair count compared to placebo. The data is presented for different months and years, with mean change values above or below zero, and standard error (SE) values also provided.*
FDA Label Image

Package Label-principal Display Panel (1 mg (30 Tablet Bottle))

Package Label-principal Display Panel (1 mg (30 Tablet Bottle))
This is a medication called "Finasteride" made in India and distributed by Rising Health LLC. Each bottle contains 30 tablets, each of which are film-coated and contain 1mg of Finasteride USP. This medication is intended for adult usage and must not be used by women or children, particularly those who may be pregnant or come into contact with crushed or broken tablets. The tablets should be kept away from moisture and stored between 20-25°C. The sample includes a warning and notes on dosage for safe usage. The accompanying circular should be consulted for additional information. There are also some codes printed and a dotted line that should not be printed in the coding area.*
FDA Label Image

Chemical Structure (Finasteride Str)

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.