Product Images Lorazepam
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 3 images provide visual information about the product associated with Lorazepam NDC 70518-1520 by Remedyrepack Inc., 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 70518 1520 01
This is a description of a medication called Lorazepam in the form of a tablet with a dosage of 0.5 mg. It comes in a quantity of 30 tablets and is classified as C-IVV. It's prescribed by a doctor and should not be given to anyone else. The medication is manufactured by Leading in Fairfield, NJ, with an NDC number of 69315-0904-01. The lot number and expiration date are not available. The medication needs to be stored at 20-25°C (58-77°F) with excursions allowed to 15-30°C (50-86°F). The caution advises that it should be kept out of reach of children. Full directions for use are available in the package insert. The medication was repackaged by RemedyRepack Inc, based in Indiana, PA.*
Remedy_Label - Remedy Label
This is a description of Lorazepam tablet. The tablets come in 0.5 mg strength and are available in a pack of 30. The tablets are obtained through a prescription and Federal law prohibits its transfer to any person other than the patient for whom it was prescribed. The drug is manufactured by Leading in Fairfield, NJ and repackaged by RemedyRepack Inc. located in Indiana, PA. It is advised to store the medication at a temperature of 20-25°C (58-77°F) with excursions permitted to 15-30°C (50-86°F). Direction for use is mentioned in the package insert and it is advisable to keep the medication out of the reach of children.*
Lorazepam structure - lorazepam structure
This appears to be a chemical formula and molecular weight. The formula is possibly for a compound made up of carbon, hydrogen, chlorine, nitrogen, and oxygen atoms. However, without further context or information, its identity and properties cannot be determined.*
* 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.
