Structural Formula (Image 01)
Enalapril Maleate Tablet
Product Images NDC 43547-548
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Enalapril Maleate (NDC 43547-548). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Solco Healthcare Us, Llc, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Product Images & Figures Index
2.5 mg (Image 02)
This is a medication that contains 2.5 mg Enalapril Maleate, USP per tablet. The usual dosage information can be found in the package insert. The package is child-resistant and should be kept at 20° to 25°C (68° to 77°F), with excursions permitted to 15° to 30°C (59° to 86°F) and tightly closed. The bottle contains desiccant to protect from moisture. The medication should be dispensed in a tight container by a pharmacist according to USP. This medication is manufactured by Zhejiang Huahai Pharmaceutical Co., Ltd. in China and distributed by Solco Healthcare US in Somerset, NJ, USA.*
5 mg (Image 03)
10 mg (Image 04)
20 mg (Image 05)
These are Enalapril Maleate tablets containing 20 mg each. The package insert should be referred to for dosage information. The bottle is child-resistant and should be stored at a temperature of 20° to 25°C. The package also cautions to keep the container closed and protected from moisture. These tablets are manufactured by Zhejiang Huahai Pharmaceutical Co., Ltd. of China and distributed by Solco Healthcare US, LLC. A warning is issued to keep these tablets out of the reach of children. The text includes a reference to a desiccant in the bottle. The package is indicated as FPO to designate the uncoated area.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
