Product Images Glyrx-pf
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Product Label Images
The following 9 images provide visual information about the product associated with Glyrx-pf NDC 51754-6015 by Exela Pharma Sciences, 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.
This is a description of Glycopyrrolate Injection. It comes in a 5ml prefilled syringe with a concentration of 0.2mg/mL. It is intended for IM (intramuscular) or IV (intravenous) use, and any unused portion should be discarded. The NDC (National Drug Code) for this medication is 51754-6015-1.*
This appears to be a product description for Glycopyrrolate Injection, with specifications for dosage and concentration. There is also a suggestion to discard unused portions of the injection. The rest of the text is not legible.*
This appears to be a product label or information sheet for a substance named "Hydrochloric Acid". It provides instructions for storage and handling, including the necessary pH adjustment and the recommended storage temperature range. The manufacturer's contact information is also provided.*
This is a description for a medication in a solution form. The solution contains 0.2 mg of Glycopyrrolate and 9mg of Sodium Chloride in water for injection. The pH level is adjusted using Sodium Hydroxide and/or Hydrochloric Acid and the pH level remains between 2.0-3.0. It is stored at a controlled room temperature of 20°C to 25°C. The Exela Pharma Sciences company manufactures and distributes the medicine in Lenoir, NC 28645 USA.*
This is a medication label for two injectable medicines, Glycopyrrolate and Falseness, used for different purposes and given in different doses. The label mentions the concentration of the medicines and some of the inactive ingredients used in the preparation. It also includes instructions for handling and storage, and a precaution to discard unused injections.*
* 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.