Product Images Escitalopram

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Escitalopram NDC 68001-591 by Bluepoint Laboratories, 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.

Bottle Label Escitalopram Tablets 5 mg 100 count - 027b5d2f 1ac2 4e69 bec8 c078f02ca657 02

Bottle Label Escitalopram Tablets 5 mg 100 count - 027b5d2f 1ac2 4e69 bec8 c078f02ca657 02

Bottle Label Escitalopram Tablets 10 mg 100 count - 027b5d2f 1ac2 4e69 bec8 c078f02ca657 03

Bottle Label Escitalopram Tablets 10 mg 100 count - 027b5d2f 1ac2 4e69 bec8 c078f02ca657 03

This text appears to be the description for a medication called "Escitalopram Tablets, USP." Each tablet contains 10 mg of Escitalopram oxalate. The usual dosage information is not provided in the text; it advises to refer to the package insert for full prescribing information. The medication should be kept out of reach of children and dispensed in a tight container as described in the USP. It should be stored at a temperature range of 20°C to 25°C (68°F to 77°F), with excursions permitted to 15°C to 30°C (59°F to 86°F). The medication is manufactured by Zhejiang Huahai Pharmaceutical Co., Ltd. in China for BluePoint Laboratories. The revision date is 03/2023. The NDC number for the medication is 68001-592-00, and it is for prescription use only. Additionally, the text suggests printing the Medication Guide from the website www.solcohealthcare.com/medguide/escitalopram-tablets-BPL.pdf.*

Bottle Label Escitalopram Tablets 20 mg 100 count - 027b5d2f 1ac2 4e69 bec8 c078f02ca657 04

Bottle Label Escitalopram Tablets 20 mg 100 count - 027b5d2f 1ac2 4e69 bec8 c078f02ca657 04

Structural Formula - structure

Structural Formula - structure

* 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.