Evidence map›Paper›PMID 25093472›Full record

ArticleThe Journal of clinical psychiatry2014

Prescription drug monitoring program inquiry in psychiatric assessment: detection of high rates of opioid prescribing to a dual diagnosis population.

Daniel T Hackman, Marion S Greene, Taya J Fernandes, Ashley M Brown, Eric R Wright, R Andrew Chambers

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of clinical psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Sleep Management Among Patients with Substance Use Disorders.The Medical clinics of North America · 2018
    Review
  6. Article
  7. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Daniel T Hackman
Marion S Greene
Taya J Fernandes
Ashley M Brown
Eric R Wright
R Andrew ChambersIU School of Medicine, Laboratory for Translational Neuroscience of Dual Diagnosis & Development and Addiction Psychiatry Training Program, IU Neuroscience Center, Ste 314, 320 W 15th St, Indianapolis, IN 46202 robchamb@iupui.edu.
Indiana University School of MedicineIndiana University – Purdue University Indianapolis · US

Funding

Consequences of voluntary intake of ethanol & nicotine during peri-adolescenceR01AA020396 · NIAAA · INDIANA UNIVERSITY INDIANAPOLIS · PI BELL, RICHARD LOWELL, ENGLEMAN, ERIC A. · 2012 to 2016
$1.2M
NIAAA NIH HHS AA020396NIAAA NIH HHS R01 AA020396
6 · The paper itself

Abstract

objectiveAn epidemic of prescription drug abuse is disproportionately impacting the mentally ill. We examined the utility of a state prescription drug monitoring database for assessing recent controlled substance prescribing to patients presenting for dual diagnosis treatment.

methodIn a community mental health center that provides integrated dual diagnosis care, we queried the Indiana Scheduled Prescription Electronic Collection and Tracking (INSPECT) system for all cases that were open as of August 2, 2011, and had been practitioner-diagnosed (per DSM-IV criteria) by January 2, 2012. INSPECT provided a record of controlled substance dispensations to each patient; diagnostic evaluation was conducted blind from prescription data compilation covering the prior 12 months. Demographic data, insurance status, and DSM-IV diagnoses were compiled from the clinic's electronic medical record.

resultsThe sample (N = 201) was 51% female, 56% white, and two-thirds uninsured. Over 80% were dually diagnosed with substance use disorders and psychotic, mood, or anxiety disorders. Nicotine and alcohol disorders were identified in most, with about a third diagnosed with cannabis, cocaine, or opioid disorders. A majority of patients (n = 115) had been prescribed opioids in the prior year, with nearly 1 in 5 prescribed an opioid and benzodiazepine simultaneously. Patients were dispensed a mean of 4 opioid prescriptions and 213 opioid pills. More opioid prescriptions correlated with opioid dependence (OR = 1.08; 95% CI, 1.016-1.145), and more prescribers correlated with personality disorder diagnoses (OR = 1.112; 95% CI, 1.001-1.235). Higher rates and riskier patterns of controlled substance prescribing were identified in patients with Medicaid/Medicare insurance compared to uninsured patients.

conclusionsPrescription drug monitoring is a powerful tool for assessing addictions and high frequencies of patient exposures to prescribed opioids in a dual diagnosis clinic. Improved prevention and treatment strategies for addictions as facilitated by more research and clinical use of prescription drug monitoring in psychiatric care are warranted.

Indexed as

Controlled SubstancesDiagnosis, Dual (Psychiatry)AdultAnalgesics, OpioidDrug PrescriptionsFemaleHumansMaleMental DisordersSubstance-Related DisordersUnited StatesAnalgesics, OpioidControlled Substances

Identifiers

PMID25093472
PMCPMC4401030
OpenAlexW2056151857

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.