Product Images Citalopram Hydrobromide

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Citalopram Hydrobromide NDC 63187-203 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.

Image - citalopram figure 01

Image - citalopram figure 01

Logo - citalopram figure 02

Logo - citalopram figure 02

Logo - citalopram figure 03

Logo - citalopram figure 03

63187-220-30 - citalopram figure 04

63187-220-30 - citalopram figure 04

This is a description of a medication with the NDC code 63187-220-30, named Gislopram, packaged by Proficient Rx LP in Thousand Oaks, CA. The medication contains Citalopram Hydrobromide and comes in tan-colored, round-shaped, and biconvex fim-coated tablets with '10' debossed on one side and plain on the other. The medication is available in a bottle containing 430 tablets with Lot #0000 and Expiry #0000T0. It is recommended to store the medication at 20°-25°C (68°-77°F) in a place that is out of reach of children. A medication guide is provided separately, and the product ID is PC022030, manufactured by Torrent Pharmaceuticals LTD in Bharuch-392130, INDIA.*

63187-203-30 - citalopram figure 05

63187-203-30 - citalopram figure 05

This is a medication information sheet for Citalopram 20mg tablets, manufactured by Torrent Pharmaceuticals in India. The medication is stored at 20°-25°C and is RX only. The tablets are tan-colored and oval-shaped with ‘20" debossed on one side and '1010' on the other side. The package contains 30 tablets and the lot number is 00000 with an expiry date of 00/00/00. There is also a barcode and other identification numbers provided. Please dispense with medication guide provided separately.*

* 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.