Product Images Cvs Pharmacy Assorted Berry Antacid
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The following 2 images provide visual information about the product associated with Cvs Pharmacy Assorted Berry Antacid NDC 51316-301 by Cvs, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.
CVS Ultra Strength Berry Flavor 72 Antacid Tablets - 881 88 antacid calcium image
This is a description of TUMSĀ® Ultra Strength Antacid Tablets. It contains 72 chewable tablets, with 1000 mg of calcium carbonate per tablet, for the relief of indigestion and upset stomach. The product comes in assorted berries flavors, is naturally and artificially flavored, and is packaged in a container that needs to be kept tightly closed at room temperature. The drug facts, inactive ingredients, and directions for use are listed. The product is not recommended for use for pregnant women, those taking prescription drugs, and children under the age of 12. If the symptoms persist for more than two weeks, medical advice should be sought. To ask questions about this product, customer service contact is provided.*
CVS Antacid Tablets Assorted Berry Flavor 160 Counts - image 01
This is a description of CVS Ultra Strength Antacid tablets. These tablets contain the active ingredient Calcium Carbonate USP 1000mg and are designed to relieve symptoms such as heartburn, acid indigestion, and sour stomach. The tablets are chewable and should not be swallowed whole. The maximum dosage is 7 tablets in 24 hours, or 5 tablets if pregnant. These tablets should not be used for more than 2 weeks without the advice or supervision of a doctor. The tablets are gluten-free and have inactive ingredients such as adipic acid, dextrose, and flavors. The dosage and usage instructions, along with the manufacturer's details, are provided on the packaging.*
* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.