Product Images Raloxifene Hydrochloride
View Photos of Packaging, Labels & Appearance
- PDP - 68071 2412 3
- \\Client\X$\Products\Raloxifene Hydrochloride Tabs ANDA 078193\Submissions\2016-03-18 CBE-0 - AJK\Working\INSERT\Image File\raloxifene-structure01.jpg - image 1
- \\Client\X$\Products\Raloxifene Hydrochloride Tabs ANDA 078193\Submissions\2016-03-18 CBE-0 - AJK\Working\INSERT\Image File\raloxifene-figure01.JPG - image 2
Product Label Images
The following 3 images provide visual information about the product associated with Raloxifene Hydrochloride NDC 68071-2412 by Nucare Pharmaceuticals,inc., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.
PDP - 68071 2412 3
The text appears to be a product label for Raloxifene Hydrochloride tablets manufactured by NuCare Pharmaceuticals, Inc. It provides the NDC, HFR NOC, and expiration date for the product. It also provides information regarding the quantity, tablets strength, and manufacturer's details. The label also includes a warning to keep the product out of reach of children and to store it at a controlled temperature.*
\\Client\X$\Products\Raloxifene Hydrochloride Tabs ANDA 078193\Submissions\2016-03-18 CBE-0 - AJK\Working\INSERT\Image File\raloxifene-structure01.jpg - image 1
\\Client\X$\Products\Raloxifene Hydrochloride Tabs ANDA 078193\Submissions\2016-03-18 CBE-0 - AJK\Working\INSERT\Image File\raloxifene-figure01.JPG - image 2
Total hip bone density changes from baseline in subjects who received a placebo and raloxifene hydrochloride for a period of 24 months were analyzed in Study A and EU. The same analysis was done for subjects who received a placebo, raloxifene hydrochloride, and adjusted estrogen (0.625 mg/day) in Study INT, which only included hysterectomized women. The graphs show the percentage change in bone density over time for each group.*
* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.
