Product Images Baclofen

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Baclofen NDC 16714-071 by Northstar Rxllc, 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.

baclofen lab1

baclofen lab1

This is a description of a medicine called Baclofen Tablets with NDC (National Drug Code) 16714-071-04. Each tablet contains 10mg of Baclofen, USP. It is advised to follow the dosage as per the package insert. The tablets need to be stored between 20°C to 25°C and in well-closed containers with child-resistant closures. Split tablets can be stored for up to 2 weeks at controlled room temperature. It is important to keep this medication out of the reach of children. The manufacturing company is Northstar Rx LLC located in Memphis, TN, and manufactured by Piramal Pharma Limited in Pithampur, Madhya Pradesh, INDIA. The code on the package is EM-14720/d Rev. 10/2020.*

baclofen lab2

baclofen lab2

These are Baclofen tablets with a strength of 20 mg, USP. The package insert should be consulted for full prescribing information. The tablets should be stored in a container with a child-resistant closure as defined by the USP at a controlled room temperature of 20° to 25°C. The tablets are manufactured by Piramal Pharma Limited, India and marketed by Northstar Rx LLC, Memphis. The package contains 100 tablets and the NDC number is 16714-072-04.*

Baclofen Structure - baclofen str

Baclofen Structure - baclofen str

The text contains chemical formulas and information about their molecular weight. The first formula appears to be a chain of carbons with attached functional groups, and the second formula is for a compound containing chlorine. The molecular weight of the second compound is given as 213.66 units.*

* 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.