Product Images Carbidopa And Levodopa

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Carbidopa And Levodopa NDC 68084-282 by American Health Packaging, 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.

25mg 100mg Carbidopa Levodopa ER Tablet Blister

25mg 100mg Carbidopa Levodopa ER Tablet Blister

Garbidopa and Levodopa tablets in different strengths, 25mg/100mg and 25mg/100mg, are available. The text also includes some product and batch codes, but a clear description of the product and its indications is not provided.*

25mg 100mg Carbidopa Levodopa ER Tablets Carton

25mg 100mg Carbidopa Levodopa ER Tablets Carton

This is a description for Carbidopa and Levodopa extended-release tablets, with a strength of 25mg/100mg. The package contains 100 tablets (10x10) and is prescription-only. The container has information regarding the usual adult dosages and storage instructions. The medication is manufactured by NG S G554 Sun Pharmaceutical Industries, Inc. and packaged and distributed by American Health Packaging, Columbus, Ohio.*

50mg 200mg Carbidopa Levodopa ER Tablet Blister

50mg 200mg Carbidopa Levodopa ER Tablet Blister

This appears to be a series of labels for medication containing Carbidopa and Levodopa, with a dosage of 50mg of Carbidopa and 200mg of Levodopa in each tablet. The labels include lot numbers and expiration dates.*

50 mg/200 mg Carbidopa/Levodopa ER Tablets Carton - 50mg 200mg Carbidopa Levodopa ER Tablets Carton

50 mg/200 mg Carbidopa/Levodopa ER Tablets Carton - 50mg 200mg Carbidopa Levodopa ER Tablets Carton

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carbidopa-structure - image 01

carbidopa-structure - image 01

levodopa-structure - image 02

levodopa-structure - image 02

* 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.