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Product Images Eplerenone

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Eplerenone NDC 71205-864 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.

Chemical Structure - eplerenone 01

Chemical Structure - eplerenone 01

Figure 1 - eplerenone 02

Figure 1 - eplerenone 02

Figure 2 - eplerenone 03

Figure 2 - eplerenone 03

Figure 3 - eplerenone 04

Figure 3 - eplerenone 04

Figure 4 - eplerenone 05

Figure 4 - eplerenone 05

71205-863-30 - eplerenone 06

71205-863-30 - eplerenone 06

Eplerenone 25mg is a prescription drug that comes in a round, beige, biconvex film-coated tablet debossed with "25" on one side. The tablets are packaged in a bottle of 30 and contain 25 mg of eplerenone each. The product is manufactured by Bluepharma Indústria Farmacêutica S.A. and has a product ID of QE086330. The medication should be stored at 25°C (77°F) and kept out of reach of children. The package is produced by Rofcent Rx LP in Thousand Oaks, CA 91320 and has a GTIN number of 0371205863302. The expiration date and lot number are not available.*

71205-864-30 - eplerenone 07

71205-864-30 - eplerenone 07

Eplerenone is a prescription medication indicated as a treatment for high blood pressure and heart failure. This particular product has the formulation of 50mg strength, comes in a package of 30 beige, round, biconvex firm-coated tablets, each debossed with *50" on one side. The product is manufactured by Bluepharma Industria Farmaceutica in Coimbra, Portugal, and packaged by Profcent Rx LP in Thousand Oaks, CA. It has the NDC code of 71205-864-30 and GTIN code of 0371205864309. However, the expiration date and lot number information are not available.*

* 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.