Product Images Ultra Strength Antacid

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Product Label Images

The following 2 images provide visual information about the product associated with Ultra Strength Antacid NDC 30142-993 by The Kroger Co.,, 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.

Kroger Ultra Strength Antacid Tablets Peppermint Flavor 160 Chewable Tablets - 103AF72PVLFLB

Kroger Ultra Strength Antacid Tablets Peppermint Flavor 160 Chewable Tablets - 103AF72PVLFLB

TUMS is an antacid that provides fast relief to upset stomach, heartburn, and acid indigestion. It is comparable to the active ingredient in Ultra-Strength. The tablets contain Calcium Carbonate and are naturally and artificially flavored with peppermint. The product is available in chewable tablets of 160. The drug facts reveal that the active ingredient per tablet is Calcium Carbonate USP 1000mg. It relieves heartburn, acid indigestion, sour stomach, and upset stomach associated with these symptoms. It comes with certain warnings that need to be taken into account before using it. However, if consumed as per the instructions on the label, it can be very effective.*

103PPT72KRO artwork

103PPT72KRO artwork

This is a medicine made with calcium carbonate as the active ingredient for relief from upset stomach, heartburn, acid indigestion, and sour stomach associated with these symptoms. It comes in chewable tablets that are naturally and artificially flavored. It is advised not to take more than 7 tablets in 24 hours or the maximum dosage for more than 2 weeks, except under the advice and supervision of a doctor. Keep out of reach of children. Store at room temperature. If the seal under the cap is torn or missing, do not use the product. It is comparable to the active ingredient in Ultra Strength TUMSĀ®. For questions or comments, call 1-800-632-6900.*

* 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.