Niacin
Product Images NDC 50268-586

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Niacin (NDC 50268-586). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Avpak, 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

1 (Screen Shot 2017 09 14 At 1.17.14 Pm)

This is a medication with the brand name Niacin, which is a type of vitamin B3. It comes as an extended-release tablet in the strength of 500mg. The medication is available in a package of 30 tablets with three unit doses of ten tablets each, and it is prescribed only with a valid medical prescription. The tablets are film-coated and contain niacin, USP 500mg. The medication information is provided separately. It should be kept at a controlled room temperature of 20° to 25°C (68° to 77°F) and away from children. It is a product of Avkare, Inc., and the manufacturing location is in Pulaski, TN 38478.*

FDA Label Image

2 (Screen Shot 2017 09 14 At 1.17.30 Pm)

This is a description of a medication with the NDC code 50268-586-13. The medication contains 1000mg of Niacin per film-coated extended-release tablet. The tablet is meant to be taken as prescribed, and comes in a unit dose of 30 tablets. This medication is only available with a prescription, as denoted by "Rx Only" in the text. The instructions for use can be found in the package insert. The medication should be stored at a controlled room temperature between 20 and 25°C. The medication is manufactured for AVKARE, Inc. located in Pulaski, TN. There is a revision date of 07-2015-01 and "AV 0317" printed on the label.*

FDA Label Image

4097803e-figure-01 (Niacin Extended Release Tablets 500 mg 1000 mg 1)

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