Pioglitazone Tablet
Product Images NDC 71335-1759

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 Pioglitazone (NDC 71335-1759). 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 (Lbl713351759)

Label (Lbl713351759)
This is a description of a medication called Pioglitazone. It is a round tablet, either white or off-white in color, with the imprint "O 33H" and contains 45mg of the medication. It should be stored at room temperature, typically 20°-25°C (68°-77°F), and the medication packaging includes a warning to keep all drugs out of the reach of children. The pill is produced by Aurobindo Pharma Limited and is available in a bottle of 30 tablets. A National Drug Code (NDC) is also included, which is a unique identifier assigned to medications in the United States healthcare system.*
FDA Label Image

Figure 1. Mean Change From Baseline For Hba1c In A 26-week Placebo-controlled Dose-ranging Study (observed Values) (Pioglitazone Fig1)

Figure 1. Mean Change From Baseline For Hba1c In A 26-week Placebo-controlled Dose-ranging Study (observed Values) (Pioglitazone Fig1)
The text describes a figure presenting the mean change from baseline for HbAlc in a placebo-controlled dose-ranging study over a period of 26 weeks. The data shows observed values and has several points plotted, representing different dosages. There are some illegible characters, but overall, the figure is showing the effectiveness of different dosages in controlling HbAlc levels over time.*
FDA Label Image

Chemical Structure (Pioglitazone Str)

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