Product Images Cvs Pharmacy Assorted Fruit Antacid
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 2 images provide visual information about the product associated with Cvs Pharmacy Assorted Fruit Antacid NDC 51316-103 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 Antacid Assorted Fruit Flavor 72 Chewable Tablets - 103AF72PVLFLB
This appears to be a label or packaging for an antacid tablet that comes in a bottle of 72 chewable tablets. Each tablet contains 1000mg of calcium carbonate as the active ingredient. The dimensions of the bottle are indicated as 3.9272 inches in height and 1.9424 inches in width. There is also a section that appears to compare this product to another (possibly a different brand). The rest of the text is not readable, possibly due to poor quality or image resolution.*
CVS Ultra Strength Antacid Assorted Fruit Flavor 160 Chewable Tablets - image 01
Health@ Ultra Strength Antacid helps to relieve heartburn, acid indigestion, sour stomach, and upset stomach associated with these symptoms. It contains Calcium Carbonate USP 1000MQ per tablet. Take 2-3 tablets completely as symptoms occur, or according to the doctor's discretion. It is a gluten-free drug but should not be taken for symptoms that persist for more than two weeks, except under the advice and supervision of a doctor. The inactive ingredients present in this drug are adipic acid, D&C Red No. 27 Lake, D&C Yellow No. 10 Lake, dextrose, FD&C Blue No. 1 Lake, FD&C Yellow No. 6 Lake, flavors, magnesium stearate, maltodextrin, starch, and sucralose. The product is manufactured and distributed by CVS Pharmacy, Inc. If you are taking any prescription drugs, ask a doctor or pharmacist before use as it may interact with certain prescription drugs.*
* 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.
