Zolpidem Tartrate Tablet, Extended Release
Product Images NDC 68071-2354

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Zolpidem Tartrate (NDC 68071-2354). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Nucare Pharmaceuticals,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

Pdp (68071 2354 9)

This is the description: Zolpidem Tartrate 12.5mg is a medication packaged in a blue round tablet that is prescribed to help with sleeping problems. It is manufactured by a company with NDC number 68180-780-01 and lot number 000000. The medication contains Zolpidem Tartrate USP 12.5mg, and it is meant for oral administration. It is important to handle the medication with care, and it is recommended to consult a doctor before use. In case of any side effects, contact a medical professional or report to FDA at 1-800-FDA-1088. Keep the medication out of reach of children and store it within the controlled temperature range of 59-86°F.*

FDA Label Image

Zolpidem Tartrate (B0207b5f 53fa 4b2c 8608 4095874aff98 01)

FDA Label Image

Im-2 (B0207b5f 53fa 4b2c 8608 4095874aff98 02)

This is a graph that shows the plasma concentrations of zolpidem, a sedative-hypnotic medication, over time. The x-axis represents time in hours, while the y-axis represents the concentration of zolpidem in nanograms per milliliter (ng/mL). The graph compares the pharmacokinetics of two different formulations of zolpidem: 12.5 mg extended-release tablets and 10 mg immediate-release tablets. The data suggests that the extended-release tablets maintain a higher concentration of zolpidem in the blood for a longer period of time compared to the immediate-release tablets.*

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