Stomach Relief - Regular Strength Liquid
Product Images NDC 76281-537

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Stomach Relief - Regular Strength (NDC 76281-537). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Aptapharma 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

537 25 6oz

537 25 6oz
This is a medication used to relieve symptoms of upset stomach, diarrhea, nausea, and heartburn. It comes in a 30 L dose cup or 2 tablespoon. The medication should not be used for more than 2 days and should not be taken by children under 12 without a doctor’s consultation. The medication should not be used if the shrink band is missing or broken. This medication contains Bismuth Subsalicylate and is a comparable alternative to Pepto-Bismol. Allergies to salicylates should be disclosed before use. If symptoms persist for more than two days or worsen, stop use and contact a healthcare professional. The product should be kept out of reach of children and should not be used during pregnancy or breastfeeding without consulting a healthcare professional. In case of overdose, contact the Poison Control Center.*
FDA Label Image

Stomache Relief Reg 12 Oz (Stomache Relief Reg 12 Oz)

Stomache Relief Reg 12 Oz (Stomache Relief Reg 12 Oz)
This appears to be a partial Drug Facts label for a product designed to relieve symptoms of nausea, heartburn, indigestion, upset stomach, and diarrhea containing Bismuth Subsalicylate. The product comes in a 12 fl oz (354 mL) bottle with regular strength and is manufactured by "Aphiora" located in Pensiaten, N 312. The rest of the text is either incomplete or unreadable.*

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