Product Images Nifedipine
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Product Label Images
The following 4 images provide visual information about the product associated with Nifedipine NDC 70771-1367 by Zydus Lifesciences Limited, 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 product description for Nifedipine Extended-Release Tablets. These tablets contain 30mg of Nifedipine USP and should be swallowed whole, not bitten or divided. The usual dosage is available in the package insert. These tablets should be stored at 20° to 25°C (68° to 77°F), protected from light and moisture, and dispensed in tight, light-resistant containers. The tablets come in a bottle of 100 and are manufactured by Cadila Healthcare Ltd. in India.*
This is a description of NIFEdipine extended-release tablets manufactured by Cadila Healthcare Ltd., India. Each film-coated tablet contains 60mg of Nifedipine USP, and they are only available through a prescription. The recommended dosage should be followed as stated in the package insert. These tablets should be stored in a controlled room temperature of 20° to 25°C and kept away from moisture and light. The tablets should be swallowed whole and not bitten or divided. Additionally, these tablets must be kept away from the reach of children and dispensed in tight and light-resistant containers.*
This is a description of Nifedipine Extended-Release Tablets. Each film-coated extended-release tablet contains 90mg of Nifedipine USP, and should be swallowed whole without biting or dividing. The recommended dosage is available in the package insert. The tablets should be stored at 20°-25°C (68°-77°F) in tight, light-resistant containers. They should be protected from light and moisture, and kept out of reach of children. These tablets are manufactured by Cadila Healthcare Ltd in Ahmedabad, India.*
* 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.