Zolpidem Tartrate Tablet, Extended Release
Product Images NDC 51991-982

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Zolpidem Tartrate (NDC 51991-982). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Breckenridge Pharmaceutical, 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

Chemical Structure (Zolpidem 01)

FDA Label Image

Figure 1 (Zolpidem 02)

Figure 1 (Zolpidem 02)
This is a graph showing the plasma concentrations (in ng/mL) of zolpidem at different time intervals (in hours). The graph compares the concentrations of 12.5mg zolpidem tartrate extended-release tablets and 10mg zolpidem tartrate immediate release.*
FDA Label Image

Principal Display Panel (6.25 mg Tablet Bottle Label)

Principal Display Panel (6.25 mg Tablet Bottle Label)
This appears to be a description of a medication called "Zolpidem Tartrate" in extended-release tablet form. The medication is manufactured by the company "Coniae Prarmcouticas Pt L1" and has an NDC code of 51991-981-01. The text also includes dosage information (6250 mg) and a warning to consult a pharmacist before use. There is also a reference to a medication guide that should be reviewed before using this medication.*
FDA Label Image

Principal Display Panel (12.5 mg Tablet Bottle Label)

Principal Display Panel (12.5 mg Tablet Bottle Label)
This is a medication prescription label for Zolpidem Tartrate Extended-Release Tablets. The label provides information on the drug's National Drug Code (NDC), storage temperature, dosage strength, and inactive ingredients. It also includes the manufacturer's name and the drug's release date.*

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