Stomach Relief Liquid
Product Images NDC 17856-1286

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Stomach Relief (NDC 17856-1286). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Atlantic Biologicals Corp., 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

Image 1 (17856 1286 01)

Image 1 (17856 1286 01)
This is a description of a medication package of Bismuth Subsalicylate oral suspension that provides 262mg/15ml for stomach relief. The package includes 15ml of the medication and a dosage of S0 cups. It should be stored at room temperature and protected from excessive heat or freezing. The package insert should be consulted for the indications and dosage schedule. The medication is alcohol and sugar-free. Lot number 011023, and it was packaged by Unit Dose Solutions and distributed by Atlantic Biologicals Corp. The manufacturer's contact number is 800.509.7592 for reorders.*
FDA Label Image

Image 2 (17856 1286 02)

Image 2 (17856 1286 02)
This is a description of a medication named BISMUTH SUBSALICYLATE in Oral Suspension form. Each 30ml of this suspension delivers 525mg. The dosage is 525mg/30ml, and the package insert should be reviewed for indications and dosage schedule. The medication is alcohol and sugar-free and must be protected from freezing and excessive heat. The manufacturer is Uni Doce Selutione, and the distributor is the Atlantic Biologicate Corp. The GTIN code is 0117656128625, and the SIN number is 01182401. The product expires on April 10th, 2021, and it belongs to the Lot 011024. The package contains one bottle of 30ml. For reordering, call 800.509.7592.*

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