Product Images Dipyridamole

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Dipyridamole NDC 71205-895 by Proficient Rx Lp, 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 - dipyridamole tablets 01

structural formula - dipyridamole tablets 01

71205-894-30 - dipyridamole tablets 02

71205-894-30 - dipyridamole tablets 02

This is a description of Dipyridamole 25mg tablets packaged by Proficient Rx LP. The tablets are round, white, and film-coated with the code 81/SL. Each tablet contains 25mg of dipyridamole. The product is only available on prescription and must be stored at 25°C (77°F) to maintain efficacy. It is essential to keep the medication out of the reach of children.*

71205-895-30 - dipyridamole tablets 04

71205-895-30 - dipyridamole tablets 04

This is a medication package of Dipyridamole 50mg in the form of 30 round, white, film-coated tablets. The package was prepared by Proficient Rx LP and given the identification number QD089530. The tablets were manufactured by Murty Pharmaceuticals, Inc. located in Lexington, KY, US. It is a prescription medication that should be stored at 25°C and kept out of children's reach.*

71205-896-30 - dipyridamole tablets 06

71205-896-30 - dipyridamole tablets 06

This is a medication called Dipyridamole 75mg which is sold in a package of 30 tablets by Murly Pharmaceuticals, Inc. The tablets are round, white, and have a film coating with the code 83/SL. The medication should be stored at 25°C (77°F) and kept out of reach of children. The package is produced by Proficent Rx LP with a GTIN of 00371205896300. The expiration date and lot number are not available. This medication can only be obtained with a prescription.*

* 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.