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Redicare Antacid Mint Flavored Tablet, Chewable
Product Images NDC 71105-036
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Redicare Antacid Mint Flavored (NDC 71105-036). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Redicare Llc, 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
Packet (Antacid 03 Packet)
This text contains information about Redicare antacid tablets with a mint flavor that contains calcium carbonate as the active ingredient. It provides relief for heartburn, sour stomach, acid indigestion, and upset stomach. The directions recommend chewing 2 tablets every 2-3 hours as needed. It also includes warnings about interactions with prescription drugs and limitations on the daily dosage. The product is manufactured for Redicare LLC and should be stored at temperatures between 15°C to 30°C.*
Principal Display (Antacid 107x86x63 08feb2025 04)
This text provides information about a mint-flavored antacid tablet called "Redicare," which contains calcium carbonate as its active ingredient. It is used to relieve heartburn, sour stomach, acid indigestion, and upset stomach. The directions for use include chewing 2 tablets every 2-3 hours or as needed, not exceeding 19 tablets in a 24-hour period. The product should not be used for more than two weeks without consulting a doctor. It also mentions warnings and interactions with prescription drugs. The product is compared to TUMS®, a stomach acid neutralizer. Keep out of reach of children and store at 15°-30°C. Ingredients, directions, warnings, and contact information for Redicare LLC are provided.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
