Product Images Ropinirole Hydrochloride
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Product Label Images
The following 6 images provide visual information about the product associated with Ropinirole Hydrochloride NDC 43353-196 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.
This is a bottle of 9000 tablets of Ropinirole, an oral medication used to treat Parkinson's disease and restless legs syndrome. The tablets are 0.25mg each and the NDC number is 43353-0194-09. The manufacturer is Zhejiang Huahai Pharmaceuticals Co., Ltd located in Xungiao, China. The bottle was packaged by Aphena Pharma in Cookeville, TN. There is also a lot number provided.*
This is a description of a medication called Ropinirole that comes in a pack of 9000 tablets with a strength of 0.5mg. The tablets should be stored at temperatures between 68-77 degrees Fahrenheit, and kept out of reach of children. The medication was manufactured in Xungiao, China by Zhejiang Huahai Pharmaceuticals Co., Ltd., and was packaged by Aphena Pharma in Cookeville, TN. The batch number is 2PO Ex Lot 3, and the product is identified by the NDC number 43353-0195-09.*
This is a description of a medication called Ropinirole which comes in a bottle with 9000 tablets of 1mg strength. The manufacturer of the medication is a company called Zhejiang Huahai Pharmaceuticals Co. located in Xungiao, China. The medication is packaged by Aphena Pharma in Cookeville and has a batch and lot number of N 43353-0196-09.*
Ropinirole is a medication containing 2mg tablets packaged in a batch of 9000. It is stored at room temperature and manufactured by Zhejiang Huahai Pharmaceuticals Co., Ltd in Xungiao, China, and packaged by Aphena Pharma in Cookeville, TN. The lot number is 3 and the National Drug Code is 43353-0198-09. The drug should be kept out of the reach of children.*
* 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.