Product Images Lorazepam
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 4 images provide visual information about the product associated with Lorazepam NDC 33261-364 by Aidarex Pharmaceuticals Llc, 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.
Lorazepam structure - lorazepam 0 5mg 1mg 2mg tab for 1
This is the chemical formula and molecular weight of a compound. The compound consists of 15 carbon atoms, 10 hydrogen atoms, 2 chlorine atoms, 2 nitrogen atoms, and 2 oxygen atoms. The molecular weight of the compound is 321.16 grams per mole.*
IMAGE LABEL - lorazepam 0 5mg 1mg 2mg tab for 2
This appears to be a product description of a medication called Lorazepam, in its 0.5mg dosage strength. It is manufactured by Aidarex Pharmaceuticals LLC and is available in tablet form with a National Drug Code (NDC) of 33261-0364-60. The medication is a generic version of Ativan, used to treat anxiety and related disorders. The tablet is white, round, and plain on one side and has "Lorazepam 0.5mg" engraved on the other side. The manufacturer is identified as Excellium Pharmaceutical, located in Fairfield.*
IMAGE LABEL - lorazepam 0 5mg 1mg 2mg tab for 3
This is a list of different lorazepam medications, their strengths, their manufacturers, and their National Drug Codes (NDG) and Regulation Numbers (RX). NDG is a unique identifier assigned to each drug product and RX identifies the packaging.*
IMAGE LABEL - lorazepam 0 5mg 1mg 2mg tab for 4
This is a medication package from AIDAREX PHARMACEUTICALS LLC, containing Lorazepam 2mg tablets. The package includes 60 tablets, with instructions to take every few hours up to several times a day. The medication is distributed under the NDC code 83261-0089-60 and is a generic version of Ativan. The manufacturer is listed as Excellium Pharmaceuticals in Fairfield, NJ.*
* 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.