Product Images Potassium Chloride

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Product Label Images

The following 2 images provide visual information about the product associated with Potassium Chloride NDC 42794-025 by Sigmapharm Laboratories, Llc, 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.

8 mEq label - mm1

8 mEq label - mm1

This is a description for Potassium Chloride Extended-Release Tablets, USP, with an 8 mEq (600 mg) dosage and 100 tablets per container. Each tablet has 600 mg of Potassium Chloride, USP. Dosage should be adjusted to the individual patient's needs. It should be stored at 15° to 30°C (59° to 869F) in a tightly closed container with a child-resistant closure. The expended matrix may not be absorbed and may be excreted in the stool. Keep out of reach of children. The manufacturer is Sigmapharm Laboratories, LLC located in Bensalem, PA, and the lot number and expiration date are not provided.*

10 mEq label - mm2

10 mEq label - mm2

This is a description of medication with the NDC code 42794-025-02. The medicine is Potassium Chloride Extended-Release Tablets, USP in a dosage strength of 10 mEq (750mg). The tablets contain FD&C Yellow No. 5 as a color additive. It is a prescription-only medication, and the package contains 100 tablets. The tablets are extended-release, with each tablet containing 750mg of Potassium Chloride, USP. Dosage must be adjusted according to individual needs, and the accompanying package insert must be consulted for full safety information. The medicine should be stored at a temperature of 15°C to 30°C and dispensed in a tight container with a child-resistant closure. Patients should be aware that the expended matrix may not be absorbed and may be excreted. The medicine is manufactured by Sigmapharm Laboratories, LLC, located in Bensalem, PA 19020. Lot and expiry date information is also printed on the package.*

* 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.