Product Images Darifenacin 7.5 Mg

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Product Label Images

The following 7 images provide visual information about the product associated with Darifenacin 7.5 Mg NDC 71205-900 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.

71205-901-60 - darifenacin 15mg 30ct

71205-901-60 - darifenacin 15mg 30ct

Darifenacin ER tablets are provided in a bottle of 60 tablets with each tablet containing 17.858 mg darifenacin hydrobromide to provide 15 mg darifenacin. These tablets are film-coated and round and are pink in color. One side of the tablet has “AL" debossed while the other side has “111" debossed. The tablets are only available for prescription and should be kept out of children's reach; they should also be stored at 25°C. The tablets are made in the USA by Mir. For. Xiromed, LLC, Florham Park, NJ and packaged by Proficient Rx LP.*

71205-900-60 - darifenacin 7 5mg 30ct

71205-900-60 - darifenacin 7 5mg 30ct

Darifenacin ER tablets are a prescription-only medication with NDC 71205-900-60. This product, manufactured by Xiromed LLC in the USA, contains 7.5mg of darifenacin hydrobromide per tablet. Each bottle contains 60 round, white, film-coated tablets with 'AL' debossed on one side and '110' on the other. The medication should be stored at 25°C (77°F) and kept out of the reach of children. It has a lot number of 00000 and an expiration date of 00/00/00. The product is packed by Proficent Rx LP, Thousand Oaks, CA 91320, and can be identified through GTIN: 0371205900601, and Product ID: QD090060.*

Fig 1 - darifenacin fig01

Fig 1 - darifenacin fig01

Fig 2a - darifenacin fig02

Fig 2a - darifenacin fig02

Fig 2b - darifenacin fig03

Fig 2b - darifenacin fig03

Fig 2c - darifenacin fig04

Fig 2c - darifenacin fig04

Structural Image - darifenacin str

Structural Image - darifenacin str

* 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.