Esomeprazole Magnesium Capsule, Delayed Release
Product Images NDC 79903-382

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Esomeprazole Magnesium (NDC 79903-382). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Walmart 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.

Product Images & Figures Index

FDA Label Image

Esome-ifc-42s (Esome Ifc 42s)

Esome-ifc-42s (Esome Ifc 42s)
This is a Drug Facts section for a medication containing Esomeprazole, which is used to treat frequent heartburn occurring 2 or more days a week. It is not intended for immediate relief and may take 1 to 4 days for full effect. The text provides information on the active ingredients, warnings on allergic reactions and signs of serious conditions, usage directions for adults, and when to seek medical attention if the heartburn continues or worsens. It also includes details on when to consult a doctor before using the product and how to store it properly.*
FDA Label Image

Esome-label-14s (Esome Label 14s)

Esome-label-14s (Esome Label 14s)
This is a detailed drug facts sheet for Esomeprazole Magnesium Delayed-Release Capsules USP, 20 mg, used for treating frequent heartburn. The instructions include dosage, administration, warnings, precautions, overdose steps, and contact information for medical assistance. It is essential to read the directions and warnings before use, store the medication properly, and seek medical advice for pregnant or breastfeeding individuals and children under 18 years of age. The recommended 14-day course of treatment protocol and the guidelines for repeated courses are also provided. For further inquiries or comments, a contact number is given for assistance.*

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