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 68382-861 by Zydus Pharmaceuticals (usa) 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.

KCL Tab 10MEQ - 083947ee abb8 4e07 b3a9 a8ad10c23acf 01

KCL Tab 10MEQ - 083947ee abb8 4e07 b3a9 a8ad10c23acf 01

Each extended-release tablet provides 750mg potassium chloride USP (equivalent to 10 mEq of potassium). The package insert for extended-release complete prescribing information should be consulted for usual dosage. The tablets should be stored at 20° to 25°C (68° to 77°F) and dispensed in a high, light-resistant USP defined container. The drug should be kept out of the reach of children. The USP assay preparation is pending. It is manufactured by Cadila Healthcare Ltd. in Matoda, Ahmedabad, India, and distributed in 100-tablet bottles by 2ydus Pharmaceuticals USA Inc. in Pennington, NJ 08534.*

KCL 20MEQ - 083947ee abb8 4e07 b3a9 a8ad10c23acf 02

KCL 20MEQ - 083947ee abb8 4e07 b3a9 a8ad10c23acf 02

Potassium Chloride Extended-release Tablets, USP are prescription drugs that come in a bottle containing 100 tablets. Each tablet provides 1500mg of potassium chloride USP, which is equivalent to 20 mEq of potassium. These tablets are designed for extended-release and should be stored in a tightly closed, light-resistant container at room temperature. The usual dosage of the tablets should be determined according to the prescribing information provided in the package insert. The manufacture of these tablets is by Cadila Healthcare Ltd in India, and they are distributed by Zydus Pharmaceuticals USA Inc. in Pennington, NJ. The USP assay preparation is pending. Keep this and all drugs out of reach of children.*

* 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.