Product Images Carbidopa And Levodopa
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Product Label Images
The following 4 images provide visual information about the product associated with Carbidopa And Levodopa NDC 16729-078 by Accord Healthcare, 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.
Carbidopa-Levodopa Extended Release Tablets-ANDA - carbidopa levodopa er 25 100 30
This is a medication with code NDC 16729-078-10 that contains 25 mg of Carbidopa USP and 100 mg of Levodopa USP. The usual adult dosage is described in an accompanying circular. The tablets are extended-release and should be swallowed whole. They should be stored at a temperature of 25°C (77°F), but excursions are permitted to 15°C to 30°C (59°F to 86°F). The medication should be kept in a tightly closed container, protected from light and moisture. It is manufactured by Intas Pharmaceuticals Limited in Ahmedabad, INDIA, and distributed by Accord Healthcare in Durham, NC. Lot and EXP & Data matrix values of 45X 22 mm need to be printed on the packaging.*
Carbidopa-Levodopa Extended Release Tablets-ANDA - carbidopa levodopa er 50 200 30
This is a prescription drug consisting of 50mg of Carbidopa and 200mg of Levodopa in an extended-release tablet form. The usual adult dosage is available in the accompanying circular. These tablets should be swallowed without crushing or chewing and dispensed in a light-resistant container. It's recommended to store them at 25°C (77°F), and excursions are permitted to 15°C to 30°C (59°F to 86°F). The drug is manufactured by Intas Pharmaceuticals Limited in Ahmedabad, India, and distributed by Accord Healthcare in Durham, NC, USA. The NDC code for the drug is 16729-079-10.*
Carbidopa Chemical Structure - carbidopa levodopa er carbi str
Levodopa Chemical Structure - carbidopa levodopa er levo str
* 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.