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 58118-0904 by Clinical Solutions Wholesale, 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 0.5mg Tablet 30 ct blister card - image 01
Clinical Solutions Wholesale, LLC offers Lorazepam 0.5mg tablets by Leading Pharma, LLC. The quantity of the product is 30 tablets with NDC number 58118-0904-8. The product was packed in lot number SAVPLET23 and batch number SAMPLEAS6 with an expiry date of July 2021. The product was repacked and/or distributed by Clinical Solutions Wholesale, LLC located on Mary Lindsay Pok Drive in Franklin, TN, USA.*
Lorazepam 1mg Tablet 30 ct blister card - image 02
This is a description of clinical solutions and wholesale medications. The text includes details about specific drugs, including Lorazepam 1mg Tablets and Mig. It also includes information about the manufacturer, expiration date, and lot number of the drugs. The drugs were repacked or distributed by Clinical Solutions Wholesale, LLC, based in Franklin, TN.*
Lorazepam 2mg Tablet 30 ct blister card - image 03
Clinical Solutions is offering wholesale Lorazepam 2mg Tablets, with a quantity of 30, for £2. The tablets have an NDC of 58118-1096-8 and were manufactured by Leading Pharma, LLC, with a lot number of SAMPLE123 and batch number of SAMPLE456. The expiration date is July 2021. These tablets were distributed by CialSktons Wholesale, LG from Franklin, TN, USA.*
Lorazepam structure - lorazepam structure
This text provides information about a chemical compound with a molecular formula of C15H10CI2N202 and a molecular weight of 321.16. No further information is 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.