Product Images Glipizide

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Glipizide NDC 59651-269 by Aurobindo Pharma Limited, 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.

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 2.5 mg (30 Tablet Container) - glipizide fig1

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 2.5 mg (30 Tablet Container) - glipizide fig1

This is the packaging of Glipizide Extended-Release Tablets manufactured by Aurobindo Pharma USA. Each package contains 30 tablets with each tablet containing Glipizide USP 25 mg. It is a prescription drug that comes with accompanying prescribing information. It is recommended to store the tablets at room temperature and protect them from moisture and humidity. The packaging suggests dispensing the tablets in tightly closed containers. The package also includes a code for reference.*

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 5 mg (30 Tablet Container) - glipizide fig2

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 5 mg (30 Tablet Container) - glipizide fig2

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 10 mg (30 Tablet Container) - glipizide fig3

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 10 mg (30 Tablet Container) - glipizide fig3

Each tablet of Glipizide USP 10mg is an extended-release film-coated tablet that is distributed by a company based in India. The manufacturer is Urobindo Pharma USA, Inc. and the product comes in a container with 30 tablets, which should be stored at a controlled room temperature and protected from moisture and humidity. The accompanying packaging information provides more details on the product such as its over printing zone coding area.*

Chemical Structure - glipizide str

Chemical Structure - glipizide str

* 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.