Product Images Ropinirole

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Product Label Images

The following 5 images provide visual information about the product associated with Ropinirole NDC 43353-920 by Aphena Pharma Solutions - Tennessee, 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.

structural formula - 35e65939 fe12 49d0 bdb3 bf08690f7c59 01

structural formula - 35e65939 fe12 49d0 bdb3 bf08690f7c59 01

Bottle Label 2mg - 43353 911

Bottle Label 2mg - 43353 911

This text describes a medication called Ropinirole packaged in a bottle containing 9000 tablets. The bottle is from the manufacturer Roxane Laboratories in Columbus, OH and repackaged by Aphen Pharma in Goodville, TN. The National Drug Code (NDC) for this medication is 43353-0911-09. The temperature range for storing the medication is between 20-25 degree Celsius.*

Bottle Label 1mg - 43353 912

Bottle Label 1mg - 43353 912

This is a medication named Ropinirole, supplied in a bottle containing 9000 tablets of 1mg each. It is recommended to store the medication between 20-25 degrees Celsius (6377 degrees Fahrenheit) and must be kept in a child-resistant container per USP guidelines. This medication is manufactured by Roxane Laboratories, Columbus, OH and repackaged by Aphena Pharma in Cookeville, TN. The NDC number is 43353-0912-09. Suitable for prescription only with RX Only designation.*

Bottle Label 0.25mg - 43353 920

Bottle Label 0.25mg - 43353 920

This is a description of Ropinirole tablets, containing 0.25mg, with a quantity of 9000 tablets. It includes details of NDC number, storage instructions, USP controlled room temperature requirements, disperse instructions, and information about the manufacturer and repackaging company. The batch number and NDC number are also provided.*

Aphena Pharma Solutions - TN - Aphena

Aphena Pharma Solutions - TN - Aphena

* 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.