Rolaids Extra Strength Mint Tablet, Chewable
Product Images NDC 41167-1001

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Rolaids Extra Strength Mint (NDC 41167-1001). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Chattem, 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.

FDA Label Image

Extra Strength Antacidrolaids®10 Mint Chewable Tablets (Rolaids Extra Strength Tablets Mint 01)

This is a description of a product named Telves Chewable Tablets by Chattem Inc. that helps to alleviate symptoms of acid indigestion. The tablets should be chewed when symptoms occur, with a dosage of 24 tablets per day or following directions from your doctor. Additionally, each tablet contains calcium (270mg) and magnesium (55mg).*

FDA Label Image

Principal Display Panelextra Strength Antacidrolaids®rapid Relief Of:heartburnacid Indigestion96 Chewable Tabletsmint (Rolaids Extra Strength Tablets Mint 02)

FDA Label Image

Extra Strength Rolaids®antacidrapid Relief Of:heartburnacid Indigestion3 Rolls 30 Chewable Tabletsmint (Rolaids Extra Strength Tablets Mint 03)

This text appears to be a drug facts label containing information on the active ingredients, purpose, and directions for a medication designed to provide relief for heartburn and acid indigestion. The active ingredients listed are calcium carbonate and magnesium hydroxide, and the label contains a warning about potential interactions with other prescription drugs. The recommended dosage is 2-4 tablets per day as directed by a doctor, and the label provides additional information on the content of calcium and magnesium in each tablet. The text also mentions that the tablets contain mint flavoring.*

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