Raloxifene Hydrochloride Tablet, Film Coated
Product Images NDC 71335-2059

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 Raloxifene Hydrochloride (NDC 71335-2059). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Bryant Ranch Prepack, 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

Label (Lbl713352059)

Label (Lbl713352059)
This is a description of a medication called Raloxifene, which comes in 60mg tablets that are white and oval in shape. The medication is packaged by Buyant Ranch Prcpach Bunbank and stored at room temperature. The packaging compares Raloxifene to the drug Evista and includes a warning to keep all drugs out of the reach of children. The rest of the text contains various regulatory numbers and codes, including an NDC code.*
FDA Label Image

Figure1 (Raloxifene Fig1)

Figure1 (Raloxifene Fig1)
The text provides a chart showing the total hip bone mineral density mean percentage change from baseline for subjects taking placebo and raloxifene hydrochloride at 6, 12, 18, and 24 months after randomization. The data are from Studies NA and EU in which an intent-to-treat analysis was conducted with last observation carried forward method. Another chart shows the total hip mean percentage change from baseline for all placebo, raloxifene hydrochloride, and conjugated estrogens (CE) subjects at 6, 12, 18, and 24 months after randomization. This data is from Study INT, which included hysterectomized women. The intent-to-treat analysis was conducted with last observation carried forward method.*
FDA Label Image

Chemical Structure (Raloxifene Str)

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