Product Images Pregabalin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 15 images provide visual information about the product associated with Pregabalin NDC 71335-1505 by Bryant Ranch Prepack, 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.

Label - lbl713351505

Label - lbl713351505

This is a description of a medication called "Pregabalin Capsules" which contains 300mg of Pregabalin. It is available in a bottle of 60 capsules and the NDC number is 71335-1505-01. The medication is prescription-only and should be kept away from children. The capsules must be stored in a temperature-controlled environment at 20° to 25° C (68° to 77° F), with excursions allowed to 15° to 30° C (59° to 86° F).*

Label - lbl7133515052

Label - lbl7133515052

This is a drug packaging label, which compares the contents with Lyrica 300mg (CV) Capsule manufactured by Laurus Labs Limited. The package was prepacked by Bryant Ranck Prepack and contains 60 capsules. The NDC number is 7133515051 and the expiration date is mentioned. The label also includes the address of the manufacturer and storage conditions for the medication. The last sequence of numbers might be a barcode or reference number.*

pregabalinchemistrystructure - pregabalin chem structure

pregabalinchemistrystructure - pregabalin chem structure

pregabalin-equation - pregabalin equation

pregabalin-equation - pregabalin equation

pregabalinfig1 - pregabalin fig 01

pregabalinfig1 - pregabalin fig 01

pregabalinfig2 - pregabalin fig 02

pregabalinfig2 - pregabalin fig 02

This appears to be a table showing percentage improvement in pain for patients taking "Pregabalin 160 mg frse tne 3 day". However, some of the text is garbled and difficult to interpret, and there is no clear heading or context for the table. So a specific description cannot be provided.*

pregabalinfig3 - pregabalin fig 03

pregabalinfig3 - pregabalin fig 03

pregabalinfig4 - pregabalin fig 04

pregabalinfig4 - pregabalin fig 04

pregabalinfig5 - pregabalin fig 05

pregabalinfig5 - pregabalin fig 05

This appears to be a table showing the dosage of two medications, pregabalin and placebo, for pain relief. It also includes data on the percentage of patients who improved and the percentage of improvement in pain from baseline. However, the information is not well formatted and some characters are unclear, possibly due to errors.*

pregabalinfig6 - pregabalin fig 06

pregabalinfig6 - pregabalin fig 06

pregabalinfig7 - pregabalin fig 07

pregabalinfig7 - pregabalin fig 07

Not available. The provided text seems to be a mix of random characters and codes, rather than an actual readable description of something.*

pregabalinfig8 - pregabalin fig 08

pregabalinfig8 - pregabalin fig 08

This appears to be a table showing different dosage amounts of Pregabalin and Placebo, as well as the percentage of patients and their corresponding percent improvement in pain from baseline. The dosages listed are 450mg/day and 100mg/day for Pregabalin, and there is a misspelling of "Pregabalin" in the first line. However, without further context or information it is difficult to provide a more detailed description or interpretation.*

pregabalinfig9 - pregabalin fig 09

pregabalinfig9 - pregabalin fig 09

This text is not available as it consists of some random characters and symbols.*

pregabalinfig10 - pregabalin fig 10

pregabalinfig10 - pregabalin fig 10

pregabalinfig11 - pregabalin fig 11

pregabalinfig11 - pregabalin fig 11

The text represents a table with the title "Percent Improved from Baseline to Week 16 BOCF" showing the percentage of subjects who improved under the treatments of Pregabalin and Placebo. The percentages range from 100 to 280, and the table includes numbers ranging from 210 to 270, with a value of 200 at the endpoint.*

* 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.