Skip to main content

The association between alcohol use, alcohol use disorders and tuberculosis (TB). A systematic review



In 2004, tuberculosis (TB) was responsible for 2.5% of global mortality (among men 3.1%; among women 1.8%) and 2.2% of global burden of disease (men 2.7%; women 1.7%). The present work portrays accumulated evidence on the association between alcohol consumption and TB with the aim to clarify the nature of the relationship.


A systematic review of existing scientific data on the association between alcohol consumption and TB, and on studies relevant for clarification of causality was undertaken.


There is a strong association between heavy alcohol use/alcohol use disorders (AUD) and TB. A meta-analysis on the risk of TB for these factors yielded a pooled relative risk of 2.94 (95% CI: 1.89-4.59). Numerous studies show pathogenic impact of alcohol on the immune system causing susceptibility to TB among heavy drinkers. In addition, there are potential social pathways linking AUD and TB. Heavy alcohol use strongly influences both the incidence and the outcome of the disease and was found to be linked to altered pharmacokinetics of medicines used in treatment of TB, social marginalization and drift, higher rate of re-infection, higher rate of treatment defaults and development of drug-resistant forms of TB. Based on the available data, about 10% of the TB cases globally were estimated to be attributable to alcohol.


The epidemiological and other evidence presented indicates that heavy alcohol use/AUD constitute a risk factor for incidence and re-infection of TB. Consequences for prevention and clinical interventions are discussed.

Peer Review reports


Tuberculosis (TB) continues to be one of the major causes of death and disability. The Global Burden of Disease Study estimated that in 2004 TB was responsible for 2.5% of global mortality (among men 3.1%; women 1.8%) and 2.2% of global burden of disease (men 2.7%; women 1.7%), with more impact in developing countries [1]. While the current disease burden is enormous, and TB qualifies among the 10 most fatal and disabling disease categories, the relative impact of TB has been going down over time. For instance, at the time of its discovery by Robert Koch in 1882, Mycobacterium (M.) tuberculosis, the etiologic agent of TB, was responsible for almost one-seventh of all the deaths in Europe [2].

The association between alcohol use and TB has long been known, even before the aetiology of TB became known. Benjamin Rush as early as 1785 listed TB and pneumonia as infectious sequelae of sustained heavy drinking [3]. Since then, there have been numerous publications describing the associations between alcohol, alcohol use disorders (AUD) and TB (e.g.,[4, 5]). However, the precise nature of the relationship has been in dispute. For instance, Rieder [6] (1999, p. 77) stated that "... epidemiologic evidence of a causal association [between alcohol abuse and TB] is inconclusive. The postulated association is confounded with environments (in industrialized countries at least) which are conducive for increased transmission and thus infection with M. tuberculosis." In other words, confounding by other factors could not be excluded.

We propose that, by now, enough evidence has accumulated to postulate a causal impact of alcohol use on both the incidence and the course of TB. In this paper, we will try to summarize this evidence, using the standard criteria for causality in epidemiology [7, 8]: association and strength of association, temporality, consistency, dose-response relationship, plausibility of biological pathways, exclusion of confounding and alternative explanations, and reversibility following interventions. In our analysis we will rely heavily on the review and meta-analysis of Lönnroth and colleagues [9], but include new data on the association in different populations as well as two new meta-analyses on alcohol as a risk factor for TB clustering.


Systematic literature review on epidemiological prevalence studies

AMSTAR, a measurement tool to assess the methodological quality of systematic reviews [10], and the overview by Egger and colleagues [11] were used as a guide to conduct this systematic literature review.

A systematic literature search on individual epidemiological studies reporting a prevalence of a) heavy alcohol use/AUD among TB patients and b) TB among patients with AUD was performed in multiple electronic bibliographic databases including: Ovid MEDLINE, PubMed, EMBASE, Web of Science (including Science Citation Index, Social Sciences Citation Index, Arts and Humanities Citation Index), PsycINFO, CABS (BIDS), WHOLIST, SIGLE, ETOH, Google Scholar, and the Cochrane Database of Systematic Reviews. The available published and unpublished literature was searched up to September 2008 inclusive. The search was conducted using multiple combinations of the following key words: tuberculosis, alcohol, abuse, misuse, dependence, alcohol use disorders, prevalence and incidence. In addition, a manual search of the bibliographic pages of selected articles and reviews as well as the content pages of major epidemiological journals [including The International Journal of Tuberculosis and Lung Disease (IJTLD)] were conducted. The search was not limited geographically and to English language publications.

Studies were excluded from the analysis for any of the following reasons: article did not have sufficient data on prevalence of heavy alcohol use/AUD among TB patients or of TB among patients with AUD; a meta-analysis or systematic review; duplicate publication of the same study; and articles available in abstract form only.

Data extraction

The titles and abstracts, where available, were independently reviewed by two researchers to identify potentially relevant papers. The papers were obtained and independently read in full by two researchers. Differences were resolved by discussion and a third party, if necessary. Reasons for exclusion were identified. The data were extracted based on the inclusion and exclusion criteria defined above.

Training of coders to achieve sufficient (> 0.80) interrater reliability was conducted. Interrater reliability gives a score of how much homogeneity, or consensus, there is in the ratings given by different raters. In order to calculate interrater reliability, Fleiss' kappa statistics using the attribute agreement analytic method was used [12].

Using a standardized Excel spreadsheet, each study was coded for the following variables: reference, setting [country/study years], study sample, type of TB, percent of patients with: a) heavy alcohol use/AUD among TB patients and b) TB in patients with an AUD diagnosis, and definition of heavy alcohol use/AUD. A second member cross-checked the table entries for accuracy, against the original article.

The quality of the data from individual articles was assessed based on the following domains as recommended by U.S. Department of Health and Human Services [13]: comparability of subjects, exposure, outcome measurement, and funding or sponsorship.

The literature search for different causal criteria and pathways

In the literature search for different causal criteria and pathways, priority was given to systematic reviews and meta-analyses. Special search strategies [14] were used. The same data bases as for the other research were used, with the key words alcohol, TB, plus one of the following: longitudinal, consistency, dose-response relationship, biological pathways, confounding, and reversibility. Only the most comprehensive reviews were included for the discussion of different causal criteria.

Estimation of a) standardized mortality rates in Russia and the Ukraine and b) alcohol-attributable fractions (AAFs) for TB deaths

Comparison of the standardized mortality rates in Russia and the Ukraine was based on the WHO mortality data bank (European standard population).

AAFs for TB deaths in 2002 in selected countries were calculated based on relative risk (RR) information from the most recent meta-analysis [9]. AAFs were calculated using the formulas of Walter [15, 16], using a disaggregated approach with 5 age groups (15-29; 30-44; 45-59; 60-69; 70+ years). For exposure, we used the estimates of heavy drinking from the 2002 Comparative Risk Analyses for WHO [17]. This model is restricted to adults and only captures the effect of alcohol on oneself, not potential effects on others in spreading the disease.

Even though these studies [14] controlled for some confounding, residual confounding of social and other risk factors for TB such as smoking or drug taking cannot be ruled out [18]. Unfortunately, there is no sufficient basis for the quantification of confounding. To be conservative, we use the standard method for potential confounding of tobacco risks (i.e. halving the effect) [19].

Ethics committee approval

The underlying work is based on systematic reviews of published data, and thus did not require ethical review.


Systematic literature review on epidemiological prevalence studies to establish association between heavy alcohol use/AUD and TB

The electronic searches yielded a total of 1,537 publications regarding epidemiological prevalence studies (Figure 1).

Figure 1

Flow diagram describing selection of studies for a systematic review on prevalence of a) heavy alcohol use/AUD among TB patients and b) TB among patients with AUD.

After 321 duplicate articles were removed, 1,216 were screened using titles and abstracts. 432 full-text articles were retrieved for further consideration. Cross-checking of references and hand-searches of the IJTLD did not yield any additional studies to be included. A total of 53 studies met inclusion criteria: 47 studies reported a prevalence of heavy alcohol use/AUD among TB patients and 6 studies reported a prevalence of TB among patients with AUD. Studies were in English (50), Russian (2) and Romanian (1) languages. A list of excluded studies is available from the authors. The studies were found for the following countries: USA (29 studies), Russia (5), Canada (4), Denmark (3), India (3), Brazil (2); and one study in each of Australia, Belarus, Finland, Germany, Kazakhstan, Romania, Slovenia, Sweden, and the UK.

The literature search for different causal criteria and pathways

At least one meta-analysis or systematic review was found for each of the causal criteria, except for establishing the dose-response relationship and reversibility. In the following, the results with respect to the causal criteria will be presented and discussed under the respective subheading. A general discussion will follow.

Association and strength of association

There have been clear associations found between heavy alcohol use/AUD, variously defined, and TB. Additional file 1 provides an overview of the prevalence of heavy alcohol use/AUD in various samples of TB patients. The prevalence of heavy alcohol use/AUD in most samples of men and women is markedly higher than in the general population, or than in matched control groups. As expected, the prevalence of TB among people with AUD was also elevated (see additional file 2). In addition, TB was found to be a major cause of death among people with AUD [20].

A formal meta-analysis, conducted by one of the co-authors of the present manuscript, was based on 3 cohort and 18 case-control studies with individual-level data on alcohol exposure and TB [11]. The objective was to systematically review alcohol use as a risk factor for active TB. The pooled RR across the 11 studies that used an exposure cut-off level set at 40 g alcohol per day or above, or defined exposure as a clinical diagnosis of an AUD, was 3.50 (95% CI: 2.01-5.93). After exclusion of 3 small studies, because of suspected publication bias, the pooled RR was 2.94 (95% CI: 1.89-4.59). Several sensitivity analyses confirmed this substantial risk of TB for heavy alcohol use or AUD [9]. The pooled effect size across studies that had controlled for infection status (OR 4.21, 95% CI: 2.73-6.48), suggest that one possible causal pathway is through increased risk of progression from infection to disease. This meta-analysis did not find an association between consumption of less than 40 g alcohol per day and risk of TB.

Two recent meta-analyses have assessed risk factors for TB clustering (as a marker for recent TB transmission), and both found that alcohol abuse (not further defined) was a risk factor for clustering. The first, which was based on 36 genotyping studies in 17 countries [21], found significant effects of alcohol abuse on TB clustering for both low TB incidence (OR = 2.6; 95% CI: 2.1-3.3) and high TB incidence (OR = 1.4; 95% CI: 1.1-1.9) studies. The significant effects remained after adjustment [21]. The other meta-analysis, based on 30 studies, reported that recent transmission of TB was associated with heavy alcohol use (OR 2.27; 95% CI: 1.69-3.06) [18].

In summary, the evidence indicates a clear and strong association between heavy alcohol use/AUD and both risk of developing active TB and risk of recent TB transmission.


Most of the studies in [9] were case-control studies, where either newly detected or recurrent cases of active TB were compared to control populations. Exposure (either heavy use or AUD) was measured retrospectively in these studies, sometimes for the past year only, or for longer time periods. However, since AUD takes usually years to develop, the temporal sequence of AUD before TB seems to be confirmed in case-control studies with newly detected TB as the outcome variable. It is hardly conceivable that the AUD could have developed after the onset of active TB and before the subsequent interview (usually within weeks), for example as a reaction of the patient to being diagnosed with TB. Moreover, there are a few cohort studies where the temporality has been clearly established (see [22, 23]).

Thus, the available evidence clearly supports a temporal sequence with heavy alcohol use/AUD preceding TB.


Overall, the association between heavy alcohol use/AUD and TB is quite consistent (see additional files 1 and 2; and the results of the three meta-analyses). The association has been replicated in studies in different countries, using different settings and different methodologies. Formal tests of consistency have been conducted in the meta-analysis of Lönnroth and colleagues [9] for the subset of studies which could give indicators of effect strength in the form of RRs. Marked heterogeneity was found when all measures of exposure were included, that is if dichotomous measures of any alcohol consumption at a time before incidence of TB (present/absent) were included [9]. This original heterogeneity decreased considerably after subdividing studies into low- and high-exposure levels (high-exposure defined as a measure of AUD and/or average consumption of ≥ 40 g/day). However, statistically significant heterogeneity persisted in the high-exposure category, which may be due to either the rather wide definition of exposure (including definitions based on average volume as well as on psychiatric classification), to misclassification of exposure across studies, to different types of control groups used, or to the different endpoints included (i.e., pulmonary TB vs. all TB; first incident TB vs. recurrent TB). While heterogeneity was statistically significant, it should be stressed that no study for heavy alcohol use/AUD showed a RR below 1, and all tests, including on various subsets of studies controlled for different confounders, showed pooled RRs higher than 3 [9].

In summary, there is a consistent relationship between heavy alcohol use/AUD and TB, and more formal measures of risk stemming from controlled studies were consistently positive with relatively large effect sizes.

Dose-response relationship and impact of patterns of drinking

There are few studies that allow an explicit test of a dose-response relationship between alcohol use and TB. The work of Brown and Campbell [24] is the exception, and from the data provided in that paper, the following odds ratios can be calculated for different levels of exposure: 10-25 ml/day: 1.60 (95%CI: 0.57-4.55); 26-50 ml/day: 2.38 (95% CI: 0.89-6.44); 51-75 ml/day: 9.27 (95% CI: 2.77-32.58); 76-100 ml/day: 8.50 (95% CI: 1.93-40.54); >100 ml/day: 35.55 (95% CI: 6.41-260.70). However, these findings are based on a small sample of men, and the confidence intervals are wide. A large case-control study of Russian mortality data [25] published as these analyses found, in comparison to light drinkers, the following dose-response relationship beyond an apparent threshold: <1 half-litre bottle of vodka or equivalent per day relative risk 1.01 for men (95% CI 0.83-1.22), 0.93 for women (95% CI 0.64-1.35); one to less than 3 bottles 1.97 for men (95% CI 1.64-2.36), 4.06 for women (95% CI 2.97-5.56); 3 bottles and above 4.14 for men (95% CI 3.44-4.98), 5.32 for women (95% CI 3.70-7.65).

Most other studies use dichotomous exposure with some variant of alcohol "abuse", either operationalized as average heavy drinking or by using AUD as the defining criterion. Assuming an exponential dose-response relationship like that found in the studies cited above is true, one would of course expect that any dichotomous variable associated with heavy drinking would be significant. AUD are strongly associated with frequency of heavy drinking occasions, and thus with overall volume of alcohol consumption [26, 27]. Thus, the current evidence does not contradict an exponential dose-response relationship between average volume of alcohol use and TB. Clarifying the exact relationship between alcohol exposure and TB should be one of the priorities of future research, including a test for gender-specific relationships. But also, independent of a diagnosis of AUD, patterns of drinking have been identified as a risk factor for a number of disease categories over and above volume of consumption [28], and this line of investigation should be extended to TB as an outcome as well.

In summary, there is some evidence for a dose-response relationship between level of alcohol use and risk for TB.

Pathways I: Alcohol and susceptibility to tuberculosis

About one-third of the people in the world are infected with M. tuberculosis [29]. Ninety percent of individuals in the general population who become infected with M. tuberculosis will never develop clinical disease [30]. That means that the majority of people infected with M. tuberculosis, those who have an adequate immune system, are able to fight off the infection and do not develop the disease. Only about 10% of those infected develop active TB, where the immune system is not able to fight off the infection [31].

Research to date has shown that heavy alcohol use/AUD is a risk factor for an impaired immune system, and increases a person's susceptibility to active TB infection as well as to the reactivation of latent disease [5, 3134]. Alcohol-consuming hosts are considered "immuno-compromised" because the incidence and severity of infectious diseases among them are greater than for abstainers [5, 3336]. Individuals with alcohol dependence are particularly susceptible to lung infections such as TB and pneumonia [5, 3234].

Greater than 90% of inhaled M. tuberculosis bacteria are normally destroyed by alveolar macrophages [37]. If alveolar macrophages are not able to kill M. tuberculosis, the bacteria multiply within macrophages, and tubercles form in the lungs. In vitro studies have shown that intracellular survival and growth of M. tuberculosis within human macrophages is enhanced by exposure to alcohol [3840]. It has also been shown that alcohol use exacerbates murine pulmonary TB, which is associated with alterations in the region-specific CD4+- and CD8+-lymphocyte responses and defective lung granuloma formation [41]. In vivo and in vitro studies have demonstrated that alcohol significantly hinders antimycobacterial defenses by suppressing mobilization, adherence, phagocytosis, and superoxide production of alveolar macrophages [4245]. Chronic ethanol ingestion in rats significantly decreases membrane expression of the GM-CSF receptor in alveolar macrophages and, in parallel, decreases cellular expression and nuclear binding of the transcription factor that activates GM-CSF-dependent macrophage functions [46].

Acute and chronic alcohol exposure may decrease the activation of antigen-specific T-cells by inhibiting the macrophage's capacity to present mycobacterial antigen to lymphocytes [47]. In addition, alcohol has been shown to reduce macrophage response to immune system modifiers (e.g., cytokines, including interleukin-6 (IL-6), IL-1β, TNF-α, and IL-8) and to prevent the protective effect exerted by the cytokines [40, 48]. Moreover, acute and chronic alcohol exposure may suppress the capacity of monocytes to produce cytokines, which directly inhibit bacterial growth and play a critical role in cellular communication, activation, proliferation, and migration, as well as regulating inflammation and healing mechanisms [48, 49]. Finally, alcohol may adversely affect antigen-specific T-cell activation so that the Th2 population (humoral immunity) dominates the Th1 population (cell-mediated immunity, responsible for overcoming TB infection). This shift disturbs a balance between the two basic types of immune system, compromising the immune defense and increasing susceptibility to TB as a result of alcohol exposure [4245, 50].

The contribution of alcohol to TB through its effects on the immune system has been difficult to isolate from other adverse factors, as it is still not known whether alcohol per se or the other sequelae of heavy drinking and alcohol dependence such as liver damage, nutritional deficiency, or hygienic factors are primarily responsible for the impaired immunity associated with alcohol dependence [5, 33, 51, 52]. However, by whatever mechanism, alcohol exposure clearly has an impact on weakening the immune system and thus on the incidence of active TB.

In sum, there is good evidence for a biological plausibility of causal relationship between alcohol exposure and incidence of TB via weakening the immune system.

Pathways II: Social marginalization and drift

AUD and TB have both been labeled "diseases of poverty", and both can be consequences as well as causes of social marginalization [5, 53, 54]. TB incidence follows a socioeconomic gradient, where TB is more incident and prevalent in poorer areas, and among poorer households [54].

The relationship between socioeconomic status and heavy alcohol use/AUD is more complex. On the country level, higher GDP has been strongly associated with higher levels of alcohol use and lower abstainer rates [55, 56]. Within countries, while lower socioeconomic strata often have higher rates of abstention, rates of AUD are not necessarily lower; but stigma and health harm attached to alcohol use have been found higher in lower compared to higher strata [5659]. Furthermore, among specific groups such as the homeless or the imprisoned population, AUD rates are much higher than in the general population [6065].

Causal relations are not necessarily unidirectional: poverty may lead to AUD, and AUD may thus be on the causal pathway from poverty to increased TB risk. On the other hand, AUD can lead to downward social mobility, and such downward mobility can create or reinforce social conditions that increase the risk of TB.

Social marginalization and the associated conditions such as crowding, malnutrition, homelessness, and imprisonment increases the risk of TB independently of heavy AUD [9]. This means that we should not consider all of the relationship between heavy alcohol use/AUD and TB as causal. But in most studies heavy alcohol use/AUD emerges as a significant independent risk factor for TB, even if other risk factors are controlled for [9].

In sum, there is evidence of a social marginalization and drift pathway on how alcohol could lead to TB.

Reversibility - effect of removing heavy alcohol exposure

Unfortunately, our second search on causal criteria (see above) did not yield any controlled trials on the impact of removing heavy alcohol exposure/treatment for AUD on incidence or re-infection of TB. On the aggregate level, we can learn from the natural experiment of the Gorbachev-era campaign which reduced alcohol use in the Soviet Union [66]. In the mid-eighties, the Gorbachev government, through a variety of measures including a decrease in the state controlled production of alcohol, succeeded in markedly reducing per capita consumption of alcohol between 1984 and 1987 from 14.2 l to 10.7 l of pure alcohol (-24.6%). These numbers take into account unrecorded consumption such as illegally produced moonshine [67]. After the campaign, alcohol use went back to old levels (1993: 14.5 l; + 35.5% from 1987). At the same time TB mortality showed similar trends for both Russia and the Ukraine (see Table 1).

Table 1 Comparison of standardized mortality rates in Russia and the Ukraine (adults 20-64 years of age)

Of course, the above data are only ecologic, and alternative explanations cannot be excluded. It is reasonable to believe that dramatic changes in both socioeconomic conditions and gradients, as well as the functioning of public health care systems, contributed to the upsurge in TB incidence in Russia during the 1990s [68]. However, for the reduction of overall mortality between 1984 and 1987, there are not a lot of alternative explanations. In addition, the reduction of mortality was not uniform across all causes of death. In line with the explanation of a causal impact of alcohol, causes of death 100% attributable to alcohol (e.g. alcohol poisoning) showed higher mortality rate decreases, and causes where no impact was expected (e.g., cancer, where any impact of alcohol should be long term and no effect in the first years can be expected [69]) showed no change at all. In addition, other countries in Eastern Europe without a parallel reform did not show decreases between 1984 and 1987 (e.g., Romania showed an increase of 38.8% in men and of 13.0% in women; own calculations - see Table 1). On the other hand, for the increases in TB mortality after 1987 several explanations are possible. The Soviet Union broke apart, the economic situation in countries like Russia, Ukraine or Romania worsened, and unemployment and other indicators of social crisis increased. Thus, TB as a disease category linked to poverty would be expected to increase. It is no surprise in this situation that TB rates in a country like Romania also increased (99.0% in men, 128.1% in women).

Alcohol in the clinical course of tuberculosis

In addition to alcohol's role in the onset of TB, there is also strong evidence of a negative influence of heavy drinking/AUD on the clinical course of TB [7074]. People drinking heavily or with AUD show higher relapse rates [75], a higher probability of an unfavourable clinical course, and a higher probability of experiencing the most destructive forms of TB [7678]. Recent studies have also shown that heavy drinking is positively associated with early relapse (OR 17.7) [79]. There are several reasons that the clinical course of TB is worse in those with AUD than in others - both clinical and social.

Immunosuppression and altered pharmacokinetics of drugs used in treatment of TB

One of the major factors in increased risk for the onset of TB and its malignant clinical course is the alteration of immunoregulation resulting in immune deficiency, which leads to increased vulnerability to bacterial agents [80]. These changes affect the immune system as a whole (see above), but, as the elimination of ethanol also occurs by exhalation, it can have local pulmonary effects [81].

Another clinical reason for a worsened course of TB in heavy drinkers is the changes of drug pharmacokinetics. In particular, studies of the pharmacokinetics of isoniazide in the treatment of TB co-morbid with alcohol dependence have shown significant decreases in absorption of the drug and its accelerated metabolism after oral administration to heavy drinkers [82]. This was a cause of a lowered maximum concentration and shorter half-life of the drug.

The treatment of TB is also more difficult to manage in HIV-infected patients, particularly with regard to pharmacological interactions. Some antibiotics used in treatment of tuberculosis (e.g. rifampin) and protease inhibitors share the CYP450 metabolic pathways that lead to significant changes of pharmacokinetics of these drugs when they are prescribed simultaneously. TB-therapies lower the concentrations of protease inhibitors: amprenavir, lopinavir/ritonavir and atazanavir [83]. Moreover, common anti-TB medications rifampicin and rifabutin lower the blood levels of nevirapine, efavirenz and delavirdine to sub-therapeutic levels. Low trough plasma levels of these anti-retroviral drugs may lead to HIV-resistance [84]. Alcohol metabolism involves oxidative and non-oxidative pathways. In the first step of oxidation, ethanol is converted to acetaldehyde. Alcohol dehydrogenase is the major enzyme. The microsomal ethanol-oxidizing system (MEOS) involves several cytochrome P450 isoenzymes, of which cytochrome P450 2E1 (CYP2E1) is the major constituent [85]. The risk of liver disease is related to the amount of alcohol consumed, but genetic factors, female sex, obesity, chronic viral hepatitis, hepatotoxins, and nutritional impairment all accelerate the disease process.

Alcohol even in small doses taken together with therapies produces interactions leading to adverse events [85]. Also, it has been shown that both TB-therapies and antiretroviral medications may have hepatotoxic effects additive to each other [83]. That may be explained by the fact that several xenobiotics that are metabolized by CYP2E1 have a synergistic effect with ethanol in the generation of liver damage.

Social exclusion and re-infection

It has been shown that having active TB leads to social exclusion and deterioration in the social environment - adverse effects on financial status and employment, and consequently a worsening of living conditions. This may lead to further exposure to M. tuberculosis in overcrowded places, including prisons [71, 8688]. Thus, another reason for a worsened course of TB is re-infection, which is common for socially derogated and/or marginalized people, in particular with alcohol dependence [89, 90]. Social exclusion and alcohol dependence together also lead to delays in seeking and starting the treatment of TB, worsening its course in that way [91].

Interruption and other impediments of treatment

One of the major consequences of the deterioration of living and financial conditions which often accompanies alcohol dependence is an interruption of treatment [92, 93]. Its rate is significantly higher in patients living with alcohol dependence and/or in fragile living conditions [73, 9496]. A recent study shows that among patients with TB who interrupted the course of treatment, 47.7% were heavy drinkers. The odds ratio for an interruption of treatment was 3.8 for heavy drinkers compared to other patients [71]. Retrospective analysis of case histories has shown a similar higher risk in alcohol users of default specifically for multidrug resistant TB treatment with a hazard ratio of 4.26 (95% CI: 2.09-8.68) [97]. These data have been corroborated by other research projects carried out on TB patients (e.g., [98]). The most recent systematic review showed a pooled odds ratio of 3.03 (95% CI: 1.84 - 4.99) for alcohol dependence as a default predictor [99].

Drug-resistant forms

A complex of factors -- immunosuppression, changes in drug pharmacokinetics, social deprivation and interruptions of treatment - leads to a lack of effectiveness of the treatment in general [100]. This can have adverse effects on drug effectiveness for the population as a whole. Recent studies have shown that bacteria have rapidly developed resistance to anti-TB drugs, as a result of prolonged exposure of patients to inappropriate treatment [101].

Estimates of alcohol-attributable burden of disease of TB

Based on the assumptions of Lönnroth and colleagues [9], the proportion of TB attributable to alcohol as a risk factor in different countries is substantial, even under conservative assumptions (right two columns of Table 2 and [102]).

Table 2 Alcohol-attributable fractions for TB deaths 2002

Not surprisingly, given the level of consumption [103], the highest alcohol-attributable fractions were estimated for Russia, and also Nigeria, Thailand and South Africa, especially for men. Overall, about 10% of the TB globally was estimated to be attributable to alcohol.


Experts from eight countries in North and South America, Australasia, Asia, and Africa, together with representatives of the World Health Organization (WHO; Department of Mental Health and Substance Abuse and Stop TB Department) and UNAIDS (Regional Support Team for Eastern & Southern Africa), met in Cape Town, South Africa in July 2008 to examine evidence relating to the linkages between alcohol use and TB and to consider potential causal impacts of alcohol use on the incidence and course of the disease. Participants reviewed the data from published and unpublished studies referred to above and specially prepared meta-analyses and reviewed information on biological pathways. There was general consensus of sufficient evidence to conclude that there is a causal linkage between heavy drinking patterns and/or AUD and the incidence of active TB for both men and women, and that these exposure categories are also causally linked to worsening of the disease course [104]. Despite this overall conclusion, there are still limitations in the underlying data as spelled out in the respective individual sections on causal criteria.

Establishing causality is only the first step in quantitatively estimating the amount of alcohol-attributable mortality and burden of disease. The current solution of halving of effects to adjust for confounding is not satisfactory, but more studies systematically including confounders are needed first. Finally, the most important advance would be interventions to reduce the incidence of alcohol-attributable TB, as well as to improve the course. There are effective treatment interventions for heavy alcohol use and AUD, and brief interventions have been shown to be effective for reducing heavy drinking [105], and there are as well effective treatments for severe alcohol dependence [106]. Appropriate measures could be routinely offered to those screened positively for heavy alcohol use and AUD. In addition, alcohol exposure at the population level can be reduced by policy measures such as increasing taxation on alcoholic beverages and decreasing the availability of alcohol through implementing a coherent liquor outlet policy [107, 108]. Such measures have also been shown to reduce AUD. Given the size of the problem, effective policy measures and treatment interventions for heavy alcohol use or AUD should be implemented at this time for reducing the double burden associated with AUD and TB. Moreover, randomized clinical trials should be started to improve and tailor preventive and treatment interventions for heavy alcohol use and AUD during the treatment of TB.


The epidemiological and other evidence presented indicates that heavy alcohol use/AUD constitute a risk factor for incidence and re-infection of TB. In addition, the course of the disease is worsened by alcohol use and in people with AUD. Interventions to reduce the impact of alcohol on TB should be considered.


  1. 1.

    WHO: The global burden of disease: 2004 update. 2008, Geneva, Switzerland: WHO

    Google Scholar 

  2. 2.

    Brock TD: Robert Koch - A life in medicine and bacteriology. 1988, Madison: Science Tech Publishers

    Google Scholar 

  3. 3.

    Rush B: An inquiry into the effects of ardent spirits upon the human body and mind: With an account of the means of preventing, and of the remedies for curing them. 1785, Reprint. Exeter, N.H.: Richardson, 8

    Google Scholar 

  4. 4.

    Jacobson JM: Alcoholism and tuberculosis. Alcohol Health Res World. 1992, 16: 39-45.

    Google Scholar 

  5. 5.

    Szabo G: Alcohol and susceptibility to tuberculosis. Alcohol Health Res World. 1997, 21: 39-41.

    Google Scholar 

  6. 6.

    Rieder HL: Epidemiologic basis of tuberculosis control. 1999, Paris: International Union Against Tuberculosis and Lung Disease

    Google Scholar 

  7. 7.

    Hill A: The environment and disease: association or causation?. Proc R Soc Med. 1965, 58: 295-300.

    CAS  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Rothman KJ, Greenland S, Lash TL: Modern epidemiology. 1965, PA, USA: Lippincott Williams & Wilkins, 3

    Google Scholar 

  9. 9.

    Lönnroth K, Williams B, Stadlin S, Jaramillo E, Dye C: Alcohol use as a risk factor for tuberculosis - a systematic review. BMC Public Health. 2008, 8: 289-10.1186/1471-2458-8-289.

    PubMed  PubMed Central  Google Scholar 

  10. 10.

    Shea BJ, Grimshaw JM, Wells GA, Boers M, Andersson N, Hamel C, Porter AC, Tugwell P, Moher D, Bouter LM: Development of AMSTAR: a measurement tool to assess the methodological quality of systematic reviews. BMC Medical Research Methodology. 2007, 7: 10-10.1186/1471-2288-7-10.

    PubMed  PubMed Central  Google Scholar 

  11. 11.

    Egger M, Smith GD, Altman DG: Systematic reviews in health care. Meta-analysis in context. 2001, London, UK: BMJ Books

    Google Scholar 

  12. 12.

    Fleiss JL: Measuring nominal scale agreement among many raters. Psychol Bull. 1971, 76: 378-82. 10.1037/h0031619.

    Google Scholar 

  13. 13.

    U.S.Department of Health and Human Services: Agency for healthcare research and quality evidence report/technology assessment number 47 systems to rate the strength of scientific evidence. ISBN:1530-440X, []

  14. 14.

    Montori VM, Wilczynski NL, Morgan D, Haynes RB: for the Hedges Team Optimal search strategies for retrieving systematic reviews from Medline: analytical survey. BMJ. 2005, 330: 68-73. 10.1136/bmj.38336.804167.47.

    PubMed  PubMed Central  Google Scholar 

  15. 15.

    Walter SD: The estimation and interpretation of attributable risk in health research. Biometrics. 1976, 32: 829-49. 10.2307/2529268.

    CAS  PubMed  Google Scholar 

  16. 16.

    Walter SD: Prevention of multifactorial disease. Am J Epidemiol. 1980, 112: 409-16.

    CAS  PubMed  Google Scholar 

  17. 17.

    Rehm J, Patra J, Baliunas D, Popova S, Roerecke M, Taylor B: Alcohol, the burden of disease of. International Encyclopedia of Public Health. Edited by: Heggenhougen K, Quah S. 2008, San Diego: Academic Press, 135-151. full_text.

    Google Scholar 

  18. 18.

    Nava-Aguilera E, Andersson N, Harris E, Mitchell S, Hamel C, Shea B, López-Vidal Y, Villegas-Arrizón A, Morales-Pérez A: Risk factors associated with recent transmission of tuberculosis: systematic review and meta-analysis. Int J Tuberc Lung Dis. 2009, 13: 17-26.

    CAS  PubMed  Google Scholar 

  19. 19.

    Peto R, Lopez A, Boreham J, Thun M, Heath C: Mortality from tobacco in developed countries: indirect estimation from national vital statistics. Lancet. 1992, 339: 1268-78. 10.1016/0140-6736(92)91600-D.

    CAS  PubMed  Google Scholar 

  20. 20.

    Bruun K, Edwards G, Lumio M, Majeka K, Pan L, Popham RE, Room R, Schmidt W, Skog O, Sulkunen P, Österberg E: Alcohol control policies in public health perspective. 1975, Helsinki, Finland: Finnish Foundation for Alcohol Studies

    Google Scholar 

  21. 21.

    Fok A, Numata Y, Schulzer M, Fitz-Gerald MJ: Risk factors for clustering of tuberculosis cases: a systematic review of population-based molecular epidemiology studies. Int J Tuberc Lung Dis. 2008, 12: 480-92.

    CAS  PubMed  Google Scholar 

  22. 22.

    Moran-Mendoza O: The value of the tuberculin skin test size in predicting the development of tuberculosis in contacts of active cases. 2004, Vancouver, British Columbia: The University of British Columbia

    Google Scholar 

  23. 23.

    Poikolainen K: Inebriation and mortality. Int J Epidemiol. 1983, 12: 151-5. 10.1093/ije/12.2.151.

    CAS  PubMed  Google Scholar 

  24. 24.

    Brown KE, Campbell AH: Tobacco, alcohol and tuberculosis. Br J Dis Chest. 1961, 55: 150-8. 10.1016/S0007-0971(61)80109-5.

    Google Scholar 

  25. 25.

    Zaridze D, Brennan P, Boreham J, Boroda A, Karpov R, Lazarev A, Konobeevskaya I, Igitov V, Terechova T, Boffetta P, Peto R: Alcohol and cause-specific mortality in Russia: a retrospective case-control study of 48,557 adult deaths. Lancet. 2009, 373: 2201-14. 10.1016/S0140-6736(09)61034-5.

    CAS  PubMed  PubMed Central  Google Scholar 

  26. 26.

    Li TK, Hewitt BG, Grant BF: The alcohol dependence syndrome, 30 years later: a commentary. The 2006 H. David Archibald lecture. Addiction. 2007, 102: 1522-30. 10.1111/j.1360-0443.2007.01911.x.

    PubMed  Google Scholar 

  27. 27.

    Saha TD, Chou SP, Grant BF: Toward an alcohol use disorder continuum using item response theory: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Psychol Med. 2006, 36: 931-41. 10.1017/S003329170600746X.

    PubMed  Google Scholar 

  28. 28.

    Rehm J, Room R, Graham K, Monteiro M, Gmel G, Sempos C: The relationship of average volume of alcohol consumption and patterns of drinking to burden of disease - an overview. Addiction. 2003, 98: 1209-28. 10.1046/j.1360-0443.2003.00467.x.

    PubMed  Google Scholar 

  29. 29.

    Raviglione MC, Snider DE, Kochi A: Global epidemiology of tuberculosis. Morbidity and mortality of a worldwide epidemic. JAMA. 1995, 273: 220-6. 10.1001/jama.273.3.220.

    CAS  PubMed  Google Scholar 

  30. 30.

    Comstock GW: Epidemiology of tuberculosis. Am Rev Respir Dis. 1982, 125: 8-15.

    CAS  PubMed  Google Scholar 

  31. 31.

    Flynn JL, Bloom BR: Role of T1 and T2 cytokines in the response to mycobacterium tuberculosis. Ann N Y Acad Sci. 1996, 795: 137-46. 10.1111/j.1749-6632.1996.tb52662.x.

    CAS  PubMed  Google Scholar 

  32. 32.

    Happel KI, Nelson S: Alcohol, immunosuppression, and the lung. Proc Am Thorac Soc. 2005, 2: 428-32. 10.1513/pats.200507-065JS.

    CAS  PubMed  Google Scholar 

  33. 33.

    Szabo G: Alcohol's contribution to compromised immunity. Alcohol Health Res World. 1997, 21: 30-41.

    CAS  PubMed  Google Scholar 

  34. 34.

    Zhang P, Bagby GH, Happel KI, Summer WR, Nelson S: Pulmonary host defences and alcohol. Front Biosci. 2002, 7: d1314-d1330. 10.2741/zhang.

    CAS  PubMed  Google Scholar 

  35. 35.

    Pavia CS, La Mothe M, Kavanagh M: Influence of alcohol on antimicrobial immunity. Biomed Pharmacother. 2003, 58: 84-9. 10.1016/j.biopha.2003.12.005.

    Google Scholar 

  36. 36.

    Specter S: Drug of abuse and infectious diseases. J Fla Med Assoc. 1994, 81: 485-7.

    CAS  PubMed  Google Scholar 

  37. 37.

    Dannenberg AM: Immune mechanisms in the pathogenesis of pulmonary tuberculosis. Rev Infect Dis. 1989, 11: S369-S378.

    PubMed  Google Scholar 

  38. 38.

    Bermudez L, Wu M, Martinelli J, Young LS: Ethanol affects release of TNF and GM-CSF and membrane expression of TNF receptors by human macrophages. Lymphokine Cytokine Res. 1991, 10: 413-9.

    CAS  PubMed  Google Scholar 

  39. 39.

    Bermudez L: Effect of ethanol on the interaction between the macrophage and mycobacterium avium. Alcohol. 1994, 11: 69-73. 10.1016/0741-8329(94)90046-9.

    CAS  PubMed  Google Scholar 

  40. 40.

    Bermudez L, Young LS: Ethanol augments intracellular survival of mycobacterium avium complex and impairs macrophage responses to cytokines. J Infect Dis. 1991, 163: 1286-92.

    CAS  PubMed  Google Scholar 

  41. 41.

    Mason CM, Dobard E, Zhang P, Nelson S: Alcohol exacerbates murine pulmonary tuberculosis. Infect Immun. 2004, 72: 2556-63. 10.1128/IAI.72.5.2556-2563.2004.

    CAS  PubMed  PubMed Central  Google Scholar 

  42. 42.

    Castro A, Lefkowitz DL, Lefkowitz SS: Effects of alcohol on murine macrophage function. Life Sciences. 1993, 52: 1585-93. 10.1016/0024-3205(93)90059-C.

    CAS  PubMed  Google Scholar 

  43. 43.

    Dorio RJ, Forman HJ: Ethanol inhibition of signal transduction in superoxide production by rat alveolar macrophages. A proposed mechanism for ethanol related pneumonia. Ann Clin Lab Sci. 1988, 18: 190-4.

    CAS  PubMed  Google Scholar 

  44. 44.

    Rimland D, Hand WL: The effect of ethanol on adherence and phagocytosis by rabbit alveolar macrophages. J Lab Clin Med. 1980, 95: 918-26.

    CAS  PubMed  Google Scholar 

  45. 45.

    Rimland K: Mechanisms of ethanol-induced defects of alveolar macrophage function. Alcohol Clin Exp Res. 1983, 8: 73-6.

    Google Scholar 

  46. 46.

    Joshi PC, Applewhite L, Ritzenthaler JD, Roman J, Fernandez AL, Eaton DC, Brown LAS, Guidot D: Chronic ethanol ingestion in rats decreases granulocyte-macrophage macrophage. J Immunol. 2005, 175: 6837-45.

    CAS  PubMed  Google Scholar 

  47. 47.

    Szabo G, Mandrekar P, Catalano D: Inhibition of superantigen-induced T-cell proliferation and monocyte IL-1β TNF and IL-6 production by acute ethanol. J Leukoc Biol. 1995, 58: 342-50.

    CAS  PubMed  Google Scholar 

  48. 48.

    Neuman M: Cytokines - central factors in alcoholic liver disease. Alcohol Res Health. 2003, 27: 307-16.

    PubMed  Google Scholar 

  49. 49.

    Crews FT, Bechara R, Brown LA, Guidot DM, Mandrekar P, Oak S, Qin L, Szabo G, Wheeler M, Zou J: Cytokines and alcohol. Alcohol Clin Exp Res. 2006, 30: 720-30. 10.1111/j.1530-0277.2006.00084.x.

    CAS  PubMed  Google Scholar 

  50. 50.

    Gamble L, Mason CM, Nelson S: The effects of alcohol on immunity and bacterial infection in the lung. Medicine et Maladies Infectieuses. 2006, 36: 72-7. 10.1016/j.medmal.2005.08.010.

    CAS  Google Scholar 

  51. 51.

    Dunne FJ: Alcohol and immune system. A causative agent in altering host defence mechanisms. BMJ. 1989, 289: 543-4. 10.1136/bmj.298.6673.543.

    Google Scholar 

  52. 52.

    Lieber CS: Biochemical and molecular basis of alcohol-induced injury to liver and other tissues. N Engl J Med. 1988, 319: 1639-50. 10.1056/NEJM198812223192505.

    CAS  PubMed  Google Scholar 

  53. 53.

    Stop TB Partnership Secretariat: A human rights approach to tuberculosis. 2001, Geneva, Switzerland: WHO

    Google Scholar 

  54. 54.

    Lönnroth K, Jaramillo E, Williams BG, Dye C, Raviglione M: Drivers of tuberculosis epidemics: the role of risk factors and social determinants. Soc Sci Med. 2009, 68: 2240-6. 10.1016/j.socscimed.2009.03.041.

    PubMed  Google Scholar 

  55. 55.

    WHO Expert Committee on Problems Related to Alcohol Consumption: Second Report. WHO Technical Report Series 944. 2007, Geneva, Switzerland: WHO

    Google Scholar 

  56. 56.

    Schmidt LA, Mäkelä P, Rehm J, Room R: Alcohol and social determinants of health. Priority public health conditions: From learning to action on social determinants of health. Edited by: Blas E, Sivasankara K. Geneva, Switzerland: WHO

  57. 57.

    Mäkelä P: Alcohol-related mortality as a function of socio-economic status. Addiction. 1999, 94: 867-86. 10.1046/j.1360-0443.1999.94686710.x.

    PubMed  Google Scholar 

  58. 58.

    Mäkelä P, Keskimäki I, Koskinen S: What underlies the high alcohol related mortality of the disadvantaged: high morbidity or poor survival?. J Epidemiol Community Health. 2003, 57: 981-6. 10.1136/jech.57.12.981.

    PubMed  PubMed Central  Google Scholar 

  59. 59.

    Room R: Stigma, social inequality and alcohol and drug use. Drug Alcohol Rev. 2005, 24: 143-55. 10.1080/09595230500102434.

    PubMed  Google Scholar 

  60. 60.

    Fazel S, Bains P, Doll H: Substance abuse and dependence in prisoners: a systematic review. Addiction. 2006, 101: 181-91. 10.1111/j.1360-0443.2006.01316.x.

    PubMed  Google Scholar 

  61. 61.

    Fiscella K, Pless N, Meldnun S, Fiscella P: Benign neglect or neglected abuse: drug and alcohol withdrawal in U.S. jails. Journal Law, Medicine & Ethics. 2004, 32: 129-36.

    Google Scholar 

  62. 62.

    Haddad MB, Wilson TW, Ijaz K, Marks SM, Moore M: Tuberculosis and homelessness in the United States, 1994-2003. JAMA. 2005, 293: 2762-6. 10.1001/jama.293.22.2762.

    CAS  PubMed  Google Scholar 

  63. 63.

    Jones GY, Hoffmann NG: Alcohol dependence: international policy implications for prison populations. Subst Abuse Treat Prev Policy. 2006, 1: 33-10.1186/1747-597X-1-33.

    CAS  PubMed  PubMed Central  Google Scholar 

  64. 64.

    McCarty D, Argeriou M, Huebner R, Lubran B: Alcoholism, drug abuse, and the homeless. Am Psychol. 1991, 46: 1139-48. 10.1037/0003-066X.46.11.1139.

    CAS  PubMed  Google Scholar 

  65. 65.

    Robertson MJ: Homeless women with children: the role of alcohol and other drug abuse. Am Psychol. 1991, 46: 1198-204. 10.1037/0003-066X.46.11.1198.

    CAS  PubMed  Google Scholar 

  66. 66.

    Leon D, Chenet L, Shkolnikov V, Zakharov S, Shapiro J, Rakhmanova G, Vassin S, McKee M: Huge variation in Russian mortality rates 1984-1994: Artefact, alcohol, or what?. Lancet. 1997, 350: 383-8. 10.1016/S0140-6736(97)03360-6.

    CAS  PubMed  Google Scholar 

  67. 67.

    Shkolnikov V, Nemtsov A: The anti-alcohol campaign and variations in Russian mortality. Premature death in the new independent states. Edited by: Bobadilla J, Costello C, Mitchell F. 1997, Washington, DC: National Academy Press, 239-261.

    Google Scholar 

  68. 68.

    Shilova MV, Dye C: The resurgence of tuberculosis in Russia. Philosophical transactions of the Royal Society of London. Series B Biological Sciences. 2001, 356: 1069-75.

    CAS  Google Scholar 

  69. 69.

    Rehm J, Patra J, Popova L: Alcohol drinking cessation and its effect on oesophageal and head and neck cancers: a pooled analysis. Int J Cancer. 2007, 121: 1132-7. 10.1002/ijc.22798.

    CAS  PubMed  Google Scholar 

  70. 70.

    Moran A, Harbour D, Teeter L, Musser JM, Graviss EA: Is alcohol use associated with cavitary disease in tuberculosis?. Alcohol Clin Exp Res. 2007, 31: 33-8. 10.1111/j.1530-0277.2006.00262.x.

    PubMed  Google Scholar 

  71. 71.

    Jakubowiak WM, Bogorodskaya EM, Borisov ES, Danilova DI, Kourbatova EK: Risk factors associated with default among new pulmonary TB patients and social support in six Russian regions. Int J Tuberc Lung Dis. 2007, 11: 46-53.

    CAS  PubMed  Google Scholar 

  72. 72.

    Razvodovskii I: Alcohol sales and pulmonary tuberculosis mortality in the Republic of Belarus in 1981 to 2001. (Article in Russian). Probl Tuberk Bolezn Legk. 2006, 9: 27-31.

    PubMed  Google Scholar 

  73. 73.

    Rudoy NM: Tuberculosis and alcoholism. Semin Respir Crit Care Med. 1997, 18: 503-8. 10.1055/s-2007-1009365.

    Google Scholar 

  74. 74.

    Krivonos PS: Characteristics of the clinical course and treatment of fibrous-cavernous pulmonary tuberculosis in persons suffering from chronic alcoholism (Article in Russian). Probl Tuberk. 1980, 8: 31-4.

    PubMed  Google Scholar 

  75. 75.

    Selassie AW, Wilson DA: Quantification of the risk of recurrence in tuberculosis. Ann Epidemiol. 2002, 12: 524-10.1016/S1047-2797(02)00380-0.

    Google Scholar 

  76. 76.

    Khudzik LB, Pankratova DE, Riabov BN, Vygodchikov I: Social and clinical characteristics of progressive forms of pulmonary tuberculosis in Saratov and Saratov region. (Article in Russian). Probl Tuberk. 2001, 6: 24-7.

    PubMed  Google Scholar 

  77. 77.

    Breitenfeld D, Trkanjec Z, Thaller V, Breitenfeld T, DeSyo D, Golik-Gruber V: Tuberculosis and alcoholism in Croatia. Collegium Antropologicum. 1998, 22: S217-S222.

    Google Scholar 

  78. 78.

    Shevchenko AA: Tuberculosis of the respiratory tract and chronic alcoholism. (Article in Russian). Probl Tuberk. 2001, 8: 6-8.

    PubMed  Google Scholar 

  79. 79.

    Riekstinia V, Thorp L, Leimane V: Risk factors for early relapse of tuberculosis in Latvia. (Article in Russian). Probl Tuberk Bolezn Legk. 2005, 1: 43-7.

    PubMed  Google Scholar 

  80. 80.

    Cook RT: Alcohol abuse, alcoholism, and damage to the immune system--a review. Alcohol Clin Exp Res. 1998, 22: 1927-42.

    CAS  PubMed  Google Scholar 

  81. 81.

    Wyatt TA: Alcohol and the lung: an overview. Alcohol. 2007, 41: 291-2. 10.1016/j.alcohol.2007.07.004.

    CAS  Google Scholar 

  82. 82.

    Koriakin VA, Sokolova GB, Grinchar NA, Iurchenko LN: Pharmacokinetics of isoniazid in patients with pulmonary tuberculosis and alcoholism. (Article in Russian). Probl Tuberk. 1986, 12: 43-6.

    PubMed  Google Scholar 

  83. 83.

    Moreno S, Podzamczer D, Blazquez R, Iribarren JA, Ferrer E, Reparaz J, Peña JM, Cabrero E, Usan L: Treatment of tuberculosis in HIV-infected patients: safety and antiretroviral efficacy of the concomitant use of ritonavir and rifampin. AIDS. 2001, 15: 1185-7. 10.1097/00002030-200106150-00018.

    CAS  PubMed  Google Scholar 

  84. 84.

    López-Cortés LF, Ruiz-Valderas R, Viciana P, Alarcón-González A, Gómez-Mateos J, León-Jimenez E, Sarasanacenta M, López-Pua Y, Pachón J: Pharmacokinetic interactions between efavirenz and rifampicin in HIV-infected patients with tuberculosis. Clinical Pharmacokinetics. 2002, 41: 681-90. 10.2165/00003088-200241090-00004.

    PubMed  Google Scholar 

  85. 85.

    Neuman MG, Monteiro M, Rehm J: Drug interactions between psychoactive substances and antiretroviral therapy in individuals infected with human immunodeficiency and hepatitis viruses. Substance Use Misuse. 2006, 41: 1395-463. 10.1080/10826080600846235.

    PubMed  Google Scholar 

  86. 86.

    Pôrto A: Social representations of tuberculosis: stigma and prejudice. (Article in Spanish). Rev Saude Publica. 2007, 41: S43-S49. 10.1590/S0034-89102007000800007.

    Google Scholar 

  87. 87.

    Craig GM, Booth H, Story A, Hayward A, Hall J, Goodburn A, Zumla A: The impact of social factors on tuberculosis management. J Adv Nurs. 2007, 58: 418-24. 10.1111/j.1365-2648.2007.04257.x.

    CAS  PubMed  Google Scholar 

  88. 88.

    Story A, van Hest R, Hayward A: Tuberculosis and social exclusion. BMJ. 2006, 333: 57-8. 10.1136/bmj.333.7558.57.

    PubMed  PubMed Central  Google Scholar 

  89. 89.

    Bonaccorsi G, Lorini C, Mannelli D: The prevalence of latent tuberculosis infection in social marginal groups. An experience conducted in Tuscany. Igiene e sanità pubblica. 2007, 63: 561-75.

    PubMed  Google Scholar 

  90. 90.

    Diel R, Schneider S, Meywald-Walter K, Ruf CM, Rusch-Gerdes S, Niemann S: Epidemiology of tuberculosis in Hamburg, Germany: long-term population-based analysis applying classical and molecular epidemiological techniques. J Clin Microbiol. 2002, 4: 532-9. 10.1128/JCM.40.2.532-539.2002.

    Google Scholar 

  91. 91.

    Storla DG, Yimer S, Bjune GA: A systematic review of delay in the diagnosis and treatment of tuberculosis. BMC Public Health. 2008, 8: 15-10.1186/1471-2458-8-15.

    PubMed  PubMed Central  Google Scholar 

  92. 92.

    Jaggarajamma K, Sudha G, Chandrasekaran V, Nirupa C, Thomas A, Santha T, Muniyandi M, Narayanan P: Reasons for non-compliance among patients treated under Revised National Tuberculosis Control Programme (RNTCP), Tiruvallur district, south India. Indian J Tuberc. 2007, 54: 130-5.

    CAS  PubMed  Google Scholar 

  93. 93.

    de Albuquerque MF, Ximenes RA, Lucena-Silva N, de Souza WV, Dantas AT, Dantas OM, Rodrigues LC: Factors associated with treatment failure, dropout, and death in a cohort of tuberculosis patients in Recife, Pernambuco State, Brazil. Cad Saude Publica. 2007, 23: 1573-82.

    Google Scholar 

  94. 94.

    Kizuku M, Takano T, Nakamura K, Fukuda Y, Watanabe M, Inose T, Seino K, Kawabe Y: Social course patterns of urban dwellers with tuberculosis under fragile living conditions in Tokyo, Japan. J Epidemiol. 2006, 16: 167-75. 10.2188/jea.16.167.

    Google Scholar 

  95. 95.

    Paixao LM, Gontijo ED: Profile of notified tuberculosis cases and factors associated with treatment dropout. Revista de Saude Publica. 2007, 41: 9-

    Google Scholar 

  96. 96.

    Nechaeva OB, Skachkova EL, Fomina NI: Drug resistance of Mycobacterium tuberculosis in the Sverdlovsk Region. (Article in Russian). Probl Tuberk. 2002, 9: 8-11.

    PubMed  Google Scholar 

  97. 97.

    Franke MF, Appleton SC, Bayona J, Arteaga F, Palacios E, Llaro K, Shin SS, Becerra MC, Murray MB, Mitnick CD: Risk factors and mortality associated with default from multidrug - resistant tuberculosis treatment. Clin Infect Dis. 2008, 46: 1844-5. 10.1086/588292.

    PubMed  PubMed Central  Google Scholar 

  98. 98.

    Gelmanova IY, Keshavjee S, Golubchikova VT, Berezina VI, Strelis AK, Yanova GV, Atwood S, Murray M: Barriers to successful tuberculosis treatment in Tomsk, Russian Federation: non-adherence, default and the acquisition of multidrug resistance. Bull World Health Organ. 2007, 85: 703-11. 10.2471/BLT.06.038331.

    CAS  PubMed  PubMed Central  Google Scholar 

  99. 99.

    Baddeley A: A systematic literature review to assess the impact of alcoholism on tuberculosis control and strategies to encourage compliance amongst alcoholic TB patients. 2008, (Academic thesis submitted for MSc degree). London: University of London

    Google Scholar 

  100. 100.

    Salami AK, Oluboyo PO: Management outcome of pulmonary tuberculosis: a nine year review in Ilorin. West African Journal of Medicine. 2003, 22: 114-9.

    CAS  PubMed  Google Scholar 

  101. 101.

    Toungoussova OS, Bjune G, Caugant DA: Epidemic of tuberculosis in the former Soviet Union: Social and biological reasons. Tuberculosis. 2006, 86: 1-10. 10.1016/

    PubMed  Google Scholar 

  102. 102.

    Rehm J, Anderson P, Kanteres F, Parry CD, Samokhvalov AV, Patra J: Alcohol, social development and infectious disease. 2009, Toronto, ON: Centre for Addiction and Mental Health, ISBN: 978-1-77052-444-6

    Google Scholar 

  103. 103.

    Rehm J, Mathers C, Popova S, Thavorncharoensap M, Teerawattananon Y, Patra J: Global burden of disease and injury and economic cost attributable to alcohol use and alcohol use disorders. Lancet. 2009, 373: 2223-33. 10.1016/S0140-6736(09)60746-7.

    PubMed  Google Scholar 

  104. 104.

    Parry CDH, Rehm JR, Poznyak V, Room R: Alcohol and infectious diseases: are there causal linkages?. Addiction. 2009, 104: 331-2. 10.1111/j.1360-0443.2008.02500.x.

    PubMed  Google Scholar 

  105. 105.

    Room R, Babor T, Rehm J: Alcohol and public health: a review. Lancet. 2005, 365: 519-30.

    PubMed  Google Scholar 

  106. 106.

    Berglund M, Thelander S, Jonsson E: Treating alcohol and drug abuse. An evidenced based review. 2003, Weinheim, Germany: Wiley-Vch Verlag GmbH & Co. KGaA

    Google Scholar 

  107. 107.

    Rehm J, Greenfield TK: Public alcohol policy: current directions and new opportunities. Clin Pharmacol Ther. 2008, 83: 640-3. 10.1038/sj.clpt.6100502.

    CAS  PubMed  PubMed Central  Google Scholar 

  108. 108.

    Babor T, Caetano R, Casswell S, Edwards G, Giesbrecht N, Graham K, Grube J, Gruenewald P, Hill L, Holder H, Homel R, Österberg E, Rehm J, Room R, Rossow I: Alcohol: No ordinary commodity. Research and public policy. 2003, Oxford and London: Oxford University Press

    Google Scholar 

  109. 109.

    Bailey WC, Sellers CA, Sutton FD, Sheehy TW, Maetz HM: Tuberculosis and alcoholism. A partial solution through detection. Chest. 1978, 73: 183-5. 10.1378/chest.73.2.183.

    CAS  PubMed  Google Scholar 

  110. 110.

    Bland SM, Berger R, Flynn JPG, Kessler II: Characteristics of hospitalized TB patients: Montebello Center, Maryland, 1981 to 1983. Md Med J. 1985, 34: 259-66.

    CAS  PubMed  Google Scholar 

  111. 111.

    Brudney K, Dobkin J: Resurgent tuberculosis in New York City: Human Immunodeficiency Virus, homelessness, and the decline of tuberculosis control programs. Am Rev Respir Dis. 1991, 144: 745-9.

    CAS  PubMed  Google Scholar 

  112. 112.

    Bumburidi E, Ajeilat S, Dadu A, Aitmagambetova I, Ershova J, Fagan R, Favorov MO, Centers for Disease Control and Prevention (CDC): Progress toward tuberculosis control and determinants of treatment outcomes--Kazakhstan, 2000-2002. MMWR Morb Mortal Wkly Rep. 2006, 55: 11-5.

    Google Scholar 

  113. 113.

    Burack WR, Hollister RM: Tuberculous peritonitis. A study of forty-seven proved cases encountered by a general medical unit in twenty-five years. Am J Med. 1960, 28: 510-23. 10.1016/0002-9343(60)90145-5.

    CAS  PubMed  Google Scholar 

  114. 114.

    Buskin SE, Gale JL, Weiss NS, Nolan CM: Tuberculosis risk factors in adults in King County, Washington, 1988 through 1990. Am J Public Health. 1994, 84: 1750-6. 10.2105/AJPH.84.11.1750.

    CAS  PubMed  PubMed Central  Google Scholar 

  115. 115.

    Centers for Disease Control and Prevention (CDC): Reported HIV status of tuberculosis patients--United States, 1993-2005. MMWR Morb Mortal Wkly Rep. 2007, 56: 1103-6.

    Google Scholar 

  116. 116.

    Cheung OT: Some difficulties in the treatment of tuberculous alcoholics. Can J Public Health. 1965, 56: 281-4.

    CAS  PubMed  Google Scholar 

  117. 117.

    Crocco JA, Rooney JJ, Lyons HA: Outpatient treatment of tuberculosis in unreliable alcoholic patients. N Y State J Med. 1976, 76: 58-61.

    CAS  PubMed  Google Scholar 

  118. 118.

    Cross FS, Long MW, Banner AS, Snider DEJ: Rifampin-isoniazid therapy of alcoholic and nonalcoholic tuberculous patients in a U.S. Public Health Service Cooperative Therapy Trial. Am Rev Respir Dis. 1980, 122: 349-53.

    CAS  PubMed  Google Scholar 

  119. 119.

    Engbaek HC, Larsen SO, Rasmussen KN, Vergmann B: Initial treatment of tuberculosis with streptomycin and isoniazid combined with either aminosalyl or rifampicin. Scand J Respir Dis. 1973, 54: 83-91.

    CAS  PubMed  Google Scholar 

  120. 120.

    Feingold AO: Association of tuberculosis with alcoholism. South Med J. 1976, 69: 1336-7.

    CAS  PubMed  Google Scholar 

  121. 121.

    Fleming MF, Krupitsky E, Tsoy M, Zvartau E, Brazhenko N, Jakubowiak W, McCaul ME: Alcohol and drug use disorders, HIV status and drug resistance in a sample of Russian TB patients. Int J Tuberc Lung Dis. 2006, 10: 565-70.

    CAS  PubMed  PubMed Central  Google Scholar 

  122. 122.

    Goldstein RS, Contreras M, Craig GA, Cheung OT: Tuberculosis--a review of 498 recent admissions to hospital. CMAJ. 1982, 126: 490-2.

    CAS  Google Scholar 

  123. 123.

    Hemila H, Kaprio J, Pietinen P, Albanes D, Heinonen OP: Vitamin C and other compounds in vitamin C rich food in relation to risk of tuberculosis in male smokers. Am J Epidemiol. 1999, 150: 633-41.

    Google Scholar 

  124. 124.

    Holmdahl SG: Four population groups with relatively high tuberculosis incidence in Goteborg 1957-1965. Scand J Respir Dis. 1967, 48: 308-20.

    Google Scholar 

  125. 125.

    Hyman S, Villa F, Alvarez S, Steigmann F: The enigma of tuberculous peritonitis. Gastroenterology. 1962, 42: 1-6.

    CAS  PubMed  Google Scholar 

  126. 126.

    Kim S, Crittenden K: Risk factors for tuberculosis among inmates: a retrospective analysis. Public Health Nurs. 2005, 22: 108-18. 10.1111/j.0737-1209.2005.220204.x.

    PubMed  Google Scholar 

  127. 127.

    Kok-Jensen A: The prognosis of pulmonary tuberculosis in patients with abuse of alcohol. Scand J Respir Dis. 1970, 51: 42-8.

    CAS  PubMed  Google Scholar 

  128. 128.

    Kolappan C, Gopi PG, Subramani R, Narayanan PR: Selected biological and behavioural risk factors associated with pulmonary tuberculosis. Int J Tuberc Lung Dis. 2007, 9: 999-1003.

    Google Scholar 

  129. 129.

    Krupitsky EM, Zvartau EE, Lioznov DA, Tsoy MV, Egorova VY, Belyaeva TV, Antonova TV, Brazhenko NA, Zagdyn ZM, Verbitskaya EV, Zorina Y, Karandashova GF, Slavina TY, Grinenko AY, Samet JH, Woody GE: Co-morbidity of infectious and addictive diseases in St. Petersburg and the Leningrad Region, Russia. Eur Addict Res. 2006, 12: 12-9. 10.1159/000088578.

    CAS  PubMed  Google Scholar 

  130. 130.

    Lennon BE, Rekosh JH, Patch VD, Howe LP: Self-reports of drunkenness arrests; assessing drinking problems among men hospitalized for tuberculosis. Q J Stud Alcohol. 1970, 31: 90-6.

    CAS  PubMed  Google Scholar 

  131. 131.

    Lewis D, Chamberlain J: Alcohol consumption and smoking habits in male patients with pulmonary tuberculosis. Br J Prev Soc Med. 1963, 17: 149-52.

    CAS  PubMed  PubMed Central  Google Scholar 

  132. 132.

    Lillebaek T, Poulsen S, Kok-Jensen A: Tuberculosis treatment in Denmark: treatment outcome for all Danish patients in 1992. Int J Tuberc Lung Dis. 1992, 3: 603-12.

    Google Scholar 

  133. 133.

    Lyons HA, Saltzman A: Diseases of the respiratory tract in alcoholics. The Biology of Alcoholism. Clinical Pathology. Edited by: Kissin B, Begleiter H. 1974, New York - London: Plenum Press, 3: 403-434.

    Google Scholar 

  134. 134.

    Milne R: Alcoholism and tuberculosis in Victoria. Med J Aust. 1970, 955-60.

    Google Scholar 

  135. 135.

    Mori M, Leonardson G, Welty T: The benefits of lsoniazid Chemoprophylaxis and risk factors for tuberculosis among Oglala Sioux Indians. Arch Intern Med. 1992, 152: 547-50. 10.1001/archinte.152.3.547.

    CAS  PubMed  Google Scholar 

  136. 136.

    O'Brien W, Vindzberg W, Longo G: Alcohol and tuberculosis. R I Med J. 1959, 42: 246-8.

    PubMed  Google Scholar 

  137. 137.

    Pincock T: Alcoholism in tuberculosis patients. CMAJ. 1964, 91: 851-4.

    CAS  Google Scholar 

  138. 138.

    Rhodes RJ, Hames GH, Campbell MD: The problem of alcoholism among hospitalized tuberculous patients. Am Rev Respir Dis. 1969, 99: 440-2.

    CAS  PubMed  Google Scholar 

  139. 139.

    Rosenman K, Hall N: Occupational risk factors for developing tuberculosis. Am J Ind Med. 1996, 30: 148-54. 10.1002/(SICI)1097-0274(199608)30:2<148::AID-AJIM5>3.0.CO;2-X.

    CAS  PubMed  Google Scholar 

  140. 140.

    Sabãu M, Jimboreanu G, Danila M, Fekete J, Ianosi E: Risk factors associated with tuberculosis: knowledge, habits and attitudes. (Article in Romanian). Pneumologia. 2003, 52: 167-71.

    PubMed  Google Scholar 

  141. 141.

    Salles CL, Conde MB, Hofer C, Cunha AJ, Calçada AL, Menezes DF, Sá L, Kritski AL: Defaulting from anti-tuberculosis treatment in a teaching hospital in Rio de Janeiro, Brazil. J Tuberc Lung Dis. 2004, 8: 318-22.

    CAS  Google Scholar 

  142. 142.

    Santha T, Garg R, Friden TR, Chandrasekaran V, Subramani R, Gopi PG, Selvakumar N, Ganapathy S, Charles N, Rajamma J, Narayanan PR: Risk factors associated with default, failure and death among tuberculosis patients treated in a DOTS programme in Tiruvallur District, South India, 2000. Int J Tuberc Lung Dis. 2002, 6: 780-8.

    CAS  PubMed  Google Scholar 

  143. 143.

    Selassie A, Pozsik C, Wilson D, Ferguson P: Why pulmonary tuberculosis recurs: a population-based epidemiological study. Ann Epidemiol. 2005, 15: 519-25. 10.1016/j.annepidem.2005.03.002.

    PubMed  Google Scholar 

  144. 144.

    Segarra F, Sherman DS, Gagnon M: Relapses in pulmonary tuberculosis. Chest. 1967, 51: 59-63. 10.1378/chest.51.1.59.

    CAS  Google Scholar 

  145. 145.

    Smith JC, Demone HW: Measurement of tuberculosis in Massachusetts and steps to combat it. Am Rev Respir Dis. 1961, 84: 263-7.

    Google Scholar 

  146. 146.

    Story A, Murad S, Roberts W, Verheyen M, Hayward AC: Tuberculosis in London: the importance of homelessness, problem drug use and prison. Thorax. 2007, 62: 667-71. 10.1136/thx.2006.065409.

    CAS  PubMed  PubMed Central  Google Scholar 

  147. 147.

    Thurston JR: Newsletter for psychologists. Tuberculosis. 1957, 4: 33-

    Google Scholar 

  148. 148.

    Thomas A, Gopi PG, Santha T, Chandrasekaran V, Subramani R, Selvakumar N, Eusuff SI, Sadacharam K, Narayanan PR: Predictors of relapse among pulmonary tuberculosis patients treated in a DOTS programme in South India. Int J Tuberc Lung Dis. 2005, 9: 556-61.

    CAS  PubMed  Google Scholar 

  149. 149.

    Yanova GV: Alcoholism among patients with tuberculosis and their medical rehabilitation in Western Siberia. (Article in Russian). The Abstract of the PhD Dissertation. 1994

    Google Scholar 

  150. 150.

    Zolnir-Dovc M, Poljak M, Erzen D, Sorli J: Molecular epidemiology of tuberculosis in Slovenia: results of a one-year (2001) nation-wide study. Scand J Infect Dis. 2003, 35: 863-8. 10.1080/00365540310017221.

    CAS  PubMed  Google Scholar 

  151. 151.

    Friedman L, Sullivan G, Bevilaqua R, Loscos R: Tuberculosis screening in alcoholics and drug addicts. Am Rev Respir Dis. 1987, 136: 1188-92.

    CAS  PubMed  Google Scholar 

  152. 152.

    Friedman L, Williams M, Singh T, Frieden T: Tuberculosis, AIDS, and death among substance abusers on welfare in New York City. N Engl J Med. 1996, 334: 828-33. 10.1056/NEJM199603283341304.

    CAS  PubMed  Google Scholar 

  153. 153.

    Jones HW, Roberts J, Brantner J: Incidence of tuberculosis among homeless men. JAMA. 1954, 155: 1222-3.

    Google Scholar 

  154. 154.

    Olin JS, Grzybowski S: Tuberculosis and alcoholism. CMAJ. 1966, 94: 999-1001.

    CAS  Google Scholar 

  155. 155.

    Rehm J, Room R, Monteiro M, Gmel G, Graham K, Rehn N, Sempos CT, Frick U, Jernigan D: Alcohol Use. Comparative quantification of health risks: global and regional burden of disease attributable to selected major risk factors. Edited by: Ezzati M, Lopez AD, Rodgers A, Murray CJL. 2004, Geneva: WHO, 1: 959-1109.

    Google Scholar 

  156. 156.

    Rehm J, Klotsche J, Patra J: Comparative quantification of alcohol exposure as risk factor for global burden of disease. Int J Methods Psychiatr Res. 2007, 16: 66-76. 10.1002/mpr.204.

    PubMed  Google Scholar 

Pre-publication history

  1. The pre-publication history for this paper can be accessed here:

Download references


We acknowledge the funding received from the US President's Emergency Fund for AIDS Relief through the US Centers of Disease Control and Prevention (Supplement to Grant number 1U51PS000729-01) which was used to fund a technical meeting of experts in Cape Town in July 2008 to discuss the link between alcohol and infectious diseases. This meeting was co-sponsored by the World Health Organization. We also acknowledge the contribution of the other participants in the technical meeting to our understanding of the link between alcohol and TB (see Finally, we acknowledge funding from the Centre for Addiction and Mental Health and from the Global Burden of Disease 2005 Study for the working group "Alcohol as a risk factor for burden of disease", and to the members of this working group for helpful comments (G. Borges; G. Gmel; K. Graham; B. Grant; the working group also includes Parry; Poznyak; Rehm and Room). The contents of this article are solely the responsibility of the authors and do not necessarily represent the decisions or the stated policy of WHO, CDC or PEPFAR.

Author information



Corresponding author

Correspondence to Jürgen Rehm.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

JR conceived the study, supervised all aspects of its implementation and led the writing. AVS, SP, MN and KL conducted the underlying systematic literature reviews. RR, CP, JP and VP contributed in the methodology and quantitative analysis of the study. All authors were involved with data interpretation, critical revisions of the paper and provided approval for its publication.

Electronic supplementary material

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Rehm, J., Samokhvalov, A.V., Neuman, M.G. et al. The association between alcohol use, alcohol use disorders and tuberculosis (TB). A systematic review. BMC Public Health 9, 450 (2009).

Download citation


  • Tuberculosis
  • Alcohol Dependence
  • Heavy Drinking
  • Atazanavir
  • Alcohol Exposure