Product Images Potassium Chloride
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Product Label Images
The following 4 images provide visual information about the product associated with Potassium Chloride NDC 70436-152 by Slate Run Pharmaceuticals, 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.
This is a description of a prescription drug called Potassium Chloride extended-release tablets containing 750mg of bietzotane. The tablets come in a bottle sealed with a cap that should not be used if the seal is broken. The recommended dosage can be found in the package insert. The medication is manufactured in China and distributed by Slate Run Pharmaceuticals in Ohio. The text also mentions an FDA approved assay test that differs from USP.*
This is a bottle of 100 extended-release Potassium Chloride Tablets USP, each containing 750 mg, equivalent to 10 mEq. The bottle should not be accepted if the seal on the opening is broken or missing, and it should be stored at room temperature (20-25°C or 68-77°F). The tablets should be dispensed in a child-resistant USP container. The usual dosage information is available on the package insert. It is manufactured by Yichang Humanwell Oral Solid Dosage Plan in China, and distributed by Slate Run Pharmaceuticals in Columbus, Ohio. The FDA approved assay test differs from USP.*
This is a bottle of Potassium Chloride Extended-Release Tablets USP, containing 100 tablets of 20 mEq/1500 mg each. The tablets are manufactured by Yichang Humanwell Oral Solid Dosage Plant in China and distributed by Slate Run Pharmaceutials in Columbus, Ohio. It is recommended to store the tablets at a controlled room temperature and dispense them in a USP tight container with a child-resistant closure. Dosage instructions are included in the package insert. It is important not to accept the bottle if the seal over the opening is broken or missing.*
* 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.