Product Images Genexa Antacid Maximum Strength

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Product Label Images

The following 2 images provide visual information about the product associated with Genexa Antacid Maximum Strength NDC 69676-0072 by Genexa Inc., 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.

16A Antacid Back 2022-01-13 - 16A Antacid Back 2022 01 13

16A Antacid Back 2022-01-13 - 16A Antacid Back 2022 01 13

This is a description of a drug that contains calcium carbonate as the active ingredient. It is used as an antacid to relieve heartburn, acid indigestion, sour stomach, and upset stomach symptoms. The warning advises not to exceed seven tablets in 24 hours and not to take more than five tablets in 24 hours if pregnant. It also suggests not to use the maximum dosage for more than two weeks unless advised by a doctor. The product is not to be used if the bottle seal is missing or disturbed. The inactive ingredients include organic beetroot, organic carnauba wax, dextrose, organic flavors, organic maltodextrin, and organic rice bran extract. The product is manufactured in the USA with globally sourced ingredients. For more information and questions, consumers can call 1-855-436-3921.*

16A Antacid PDP 2022-01-13 - 16A Antacid PDP 2022 01 13

16A Antacid PDP 2022-01-13 - 16A Antacid PDP 2022 01 13

This is a description of an antacid medication in chewable tablet form. It has a maximum strength formula with 1000mg of calcium carbonate to relieve heartburn, acid indigestion, and upset stomach. The active ingredient is compared to TUMSĀ®'s ultra-strength 1000 in assorted berry flavor. This medication is made without talc, FD&C blue no. 1 lake, FD&C red no. 40 lake, sucrose, and other ingredients. It has an organic berry and vanilla flavor and comes with 72 chewable tablets.*

* 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.