Product Images Alvimopan
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Alvimopan NDC 0254-3012 by Par Pharmaceutical, 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.
Alvimopan - alvimopan capsules 1
Figure 1 - alvimopan capsules 2
Estimated probability of achieving the endpoint is 72%. The text appears to be related to the drug Alvimopan and placebo, and the hours after the surgery are mentioned. The text also includes multiple equal signs and the letter "X4" at the end, but their significance is not clear without context.*
Figure 2 - alvimopan capsules 3
This appears to be a graph showing the estimated probability of achieving Encipoint, with Alvimopan and Placebo as the two options. The x-axis shows the hours after the end of surgery, while the y-axis shows the percentage chance of achieving Encipoint. The data is presented in a colored, bar graph format.*
Alvimopan carton - alvimopan capsules 4
This is a product description of Alvimopan capsules. The capsules contain 12mg of Ahimogan and are only available by prescription. A package includes 30 unit-dose capsules (6 x 5 capsules). The usual dosage must be referred to from the package insert. This product is for hospital use only and should be kept at 25°C (77°F) or between 15°C to 30°C (59°F to 86°F). The manufacturer is Dby Parbramaces.*
alvimopan blister - alvimopan capsules 5
This is a description of Alvimopan Capsule, with a 12 mg strength. The product is intended for hospital use only and is distributed by Par Pharmaceutical. The product is manufactured in India with a manufacturing license number of 25/82/2020. The capsule has markings indicating it should be pushed through from the front.*
* 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.