Naproxen And Esomeprazole Magnesium Tablet, Delayed Release
Product Images NDC 63629-4873

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Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Naproxen And Esomeprazole Magnesium (NDC 63629-4873). 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 (Lbl636294873)

Label (Lbl636294873)
This text is a medication guideline for Naproxen and Esomeprazole Magnesium Delayed-Release Tablets. It contains details about the tablet composition, dosage instructions, storage conditions, and safety measures. The tablets include 500 mg of Naproxen, USP, and Esomeprazole Magnesium, USP equivalent to 20 mg of Esomeprazole. The recommended dosage is one tablet twice daily before meals. The tablets should be swallowed whole with liquid and not split, chewed, crushed, or dissolved. The storage temperature should be maintained between 20°C to 25°C (68°F to 77°F) with excursions permitted to 15°C to 30°C (59°F to 86°F). It is advised to keep the bottle tightly closed, protect from moisture, dispense in a tight container, and keep out of reach of children.*
FDA Label Image

Figure1 (Naproxen Esomeprazole Fig1)

Figure1 (Naproxen Esomeprazole Fig1)
This is a data chart showing the effectiveness of Eomeprazole and Naproxen over time in hours. The chart displays the values for each medication at different time intervals (16, 20, and 24 hours). The values at 16 hours seem to be 100 for both medications and later values are not clearly visible.*
FDA Label Image

Naproxen-structure (Naproxen Esomeprazole1)

FDA Label Image

Esomeprazole-structure (Naproxen Esomeprazole2)

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