Product Images Phenobarbital

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Phenobarbital NDC 67046-950 by Contract Pharmacy Services-pa, 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 the image of the structual formula for Phenobarbital. - e8e1b3d7 0272 4278 b2a3 1d10dbeb0a5a 01

This is the image of the structual formula for Phenobarbital. - e8e1b3d7 0272 4278 b2a3 1d10dbeb0a5a 01

Blister of 30 Tablets - e8e1b3d7 0272 4278 b2a3 1d10dbeb0a5a 02

Blister of 30 Tablets - e8e1b3d7 0272 4278 b2a3 1d10dbeb0a5a 02

Phenobarbital is a medication that comes in a package of 30 tablets. Each tablet contains 32.4mg of Phenobarbital. It is a controlled substance that can be habit-forming. Users should refer to the package insert for usual dosage instructions. The pills were manufactured by Qualitest, and come from a lot labeled as SAMPLE with the pill identifier 5012V. The tablets were packaged by Contract Pharmacy Services in Pennsylvania. The expiration date for this lot is 02/02/13. The medication should be stored at 68-77°F (20-25°C). The CPSNDC number for this medication is 67046-350-30.*

Blister of 30 Tablets - e8e1b3d7 0272 4278 b2a3 1d10dbeb0a5a 03

Blister of 30 Tablets - e8e1b3d7 0272 4278 b2a3 1d10dbeb0a5a 03

PHENOBARBITAL is a controlled substance that is available in the form of a 64.8 mg tablet. The package insert contains the usual dosage and usage details. Each tablet contains Phenobarbital, and it is a warning that it may be habit-forming. The pill is identified using the code 5013V, and it has been manufactured and packed by Qualitest for Contract Pharmacy Services-PA A. The lot number is mentioned, and it should be stored in a temperature-controlled environment. The text also includes the CPSNDC number.*

* 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.