Product Images Morphine Sulfate

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Morphine Sulfate NDC 51862-617 by Mayne Pharma Commercial 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.

Chemical Structure - morphine 01

Chemical Structure - morphine 01

PRINCIPAL DISPLAY PANEL - 15 mg Tablet Bottle Label - morphine 02

PRINCIPAL DISPLAY PANEL - 15 mg Tablet Bottle Label - morphine 02

This appears to be the label of a medication containing 15 mg of Morphine Sulfate USP per tablet. The usual dosage instructions can be found in the package insert. The medication should be stored at 20° to 25°C and protected from moisture. The container should be tightly closed and kept out of reach of children. A medication guide is available at products.maynepharma.com or by calling 1-844-825-8500. The medication is distributed by Mayne Pharma and comes with 100 tablets.*

PRINCIPAL DISPLAY PANEL - 30 mg Tablet Bottle Label - morphine 03

PRINCIPAL DISPLAY PANEL - 30 mg Tablet Bottle Label - morphine 03

Each tablet of this medication contains 30mg of Morphine Sulfate USP which is equivalent to 22.5mg of Morphine. It is recommended to refer to the package insert for complete information on dosage. The medicine should be stored at a temperature of 20° to 25°C (68° to 77°F) and protected from moisture. It must be dispensed in a tightly closed, light-resistant container that has a child-resistant closure as defined in the USP. Contact the manufacturer for Medication Guides at products.maynepharma.com or call 1-844-825-8500. The medication is distributed by Mayne Pharma, Greenville, NC27834 and it's Rx only. The package contains 100 tablets. The accompanying Medication Guide should be given to each patient by the pharmacist.*

* 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.