Product Images Rosuvastatin Calcium

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Product Label Images

The following 4 images provide visual information about the product associated with Rosuvastatin Calcium NDC 61919-799 by Direct Rx, 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.

701 20

701 20

This is a description of a medication called Rosuvastatin Calcium in the form of 20mg tablets that come in a pack of 20. The medication is distributed by MRV GA 30005, with a recommended storage temperature of 68-77 degrees Fahrenheit. It is important to keep out of the reach of children. The product has a lot expiry date of 05721 and is available by prescription only. The NDC number is 61919-701-20. The text mentions four different lots of this product with different expiration dates.*

712-90 - 712 90

712-90 - 712 90

This is a description of a medication called Rosuvastatin Calcium, which comes in a 40mg dosage and is available in a pack of 90 tablets. The medication is likely a generic version of the brand name drug, and its packaging contains information regarding the active ingredients. The remaining text is difficult to interpret and may not be relevant to the medication.*

799 30

799 30

This is a label for a medicine named ROSUVASTATIN CALCIUM, presented in tablets of 5mg. Each tablet contains rosuvastatin calcium equivalent to 5mg of rosuvastatin. The label contains information on the manufacturer, lot number, expiration date, and National Drug Code (NDC) as well as information on the packager and distributor.*

81b8aae5 a4eb e89d e053 2a91aa0a3072

81b8aae5 a4eb e89d e053 2a91aa0a3072

This is a description of a medication named Rosuvastatin Calcium. It comes in a package containing 30 tablets with a strength of 5mg each. The lot number is DGFE1910 with an expiry date of 09/21. The medication is distributed by a company located in GA.*

* 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.